11,163 research outputs found

    BLENDED DELIVERY OF UNDERGRADUATE CHEMISTRY LABORATORIES DUE TO COVID-19

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    COVID-19 has had a profound impact on tertiary education, most notably the rapid transition from face-to-face classes to online methods of teaching. This has posed significant challenges for laboratory classes, where students normally acquire technical, data analysis and communication skills through direct hands-on experience. Achieving these learning outcomes amid a global pandemic requires fundamental re-design of laboratory activities and their assessment. This presentation will provide a case study of how a second-year analytical chemistry unit was adapted to provide a blended learning experience. Half of the laboratories were transitioned into take-home activities using video recordings, sample data and additional online resources in place of face-to-face sessions. A revised report format was introduced, enabling students to demonstrate their knowledge of the underpinning chemistry and laboratory safety without physical attendance. The remaining laboratories were held face-to-face and assessed through a competency criterion system, maximising the value of students’ on-campus experience. An analysis will be provided of lessons learned from the adaptation process and how this will be used for continuous unit improvement

    Teaching-learning methodologies: use of blended learning in chemistry laboratory

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    For a proper teaching-learning environment in the European Higher Education Area (EHEA) it is mandatory to follow an integral educational program that considers the presential and non-presential activities as a whole, in the understanding of the utmost importance of the out of class students’ time. From this point of view, it seems more than appropriate the use of a learning system that combines Internet and digital media with established classroom forms that require the physical co-presence of teacher and students, i.e. the blended learning. In this contribution the authors make a proposal of implementation of virtual technological tools in non-presential activities with the aim of building a blended learning pedagogical framework for the subject β€œChemistry”, which is being taught in the first year of the mathematics degree at the University of Alicante (Spain). Two virtual tools were selected for the mentioned purpose: video-tutorials and virtual laboratories. Both were implanted in a complete teaching methodology that, properly integrated with presential lectures, pursues the two main objectives that follow: i) be a solid reinforcement of the concepts developed in class and ii) have enough scientific entity to launch new ideas on the less developed items in the presential lectures

    Perspectives on blended learning through the on-line platform, LabLessons, for Chemistry

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    The effectiveness of blended learning was evaluated through the integration of an online chemistry platform, LabLessons. Two modules, Formation of Hydrogen and Titration, were designed by college mentors alongside classroom chemistry teachers to engage and allow high school students to better comprehend these scientific topics. The pre-lab modules introduced the students to experiments they were expected to perform in class the following day. The modules consisted of an introduction as well as either a visualization and/or simulation specific to each topic. Students and teachers who utilized LabLessons were surveyed to establish a preliminary research on the use of technology in classrooms. Student and teacher surveys demonstrated LabLessons to be an interactive and helpful tool to improve students' understanding of conceptual ideasPeer Reviewe

    Life Sciences: a subject-based aspect report on provision in Scotland's colleges

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    An Evaluation of eScience Lab Kits for Online Learning

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    Higher education online science courses generally lack the hands-on components essential in understanding theories, methods, and techniques in chemistry and biology. Companies like eScience Labs construct kits to facilitate online learning, which provide students with hands-on activities relevant to their science courses. In order to evaluate ease, efficacy, and comprehension of the forensic science kits by eScience Labs was completed while writing observations of the activities during and after completion; the lab manual learning objectives were compared to results of activities and two stopwatches took elapsed time of each activity to compare with the stated times in the kit manual. This method determined that the eScience manual does not provide enough information for a college freshman to fully understand the topic; however, combining these labs with professor provided online lectures would allow full comprehension of the forensic science applications or techniques. Recommendations to obtain maximum learning outcomes include requiring the completion of prerequisites like algebra and general chemistry. With these aspects combined, the eScience lab kit is a great addition to an introductory forensic science course as it provides safe and interactive hands-on activities

    Lessons from University Instructors and Students Toward the Post-COVID-19 Laboratory Education

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    ν•™μœ„λ…Όλ¬Έ(박사) -- μ„œμšΈλŒ€ν•™κ΅λŒ€ν•™μ› : μ‚¬λ²”λŒ€ν•™ κ³Όν•™κ΅μœ‘κ³Ό(화학전곡), 2023. 2. ν™ν›ˆκΈ°.2020년에 λ°œμƒν•œ μ½”λ‘œλ‚˜-19 μ‚¬νƒœμ™€ 이둜 μΈν•œ μ‚¬νšŒμ  거리두기 λ°©μ—­ 정책은 λŒ€ν•™ μ‹€ν—˜ μˆ˜μ—…λ“€μ΄ κ΄€μŠ΅μ μΈ λŒ€λ©΄ λ°©μ‹μ—μ„œ μ΅μˆ™ν•˜μ§€ μ•Šμ€ λΉ„λŒ€λ©΄ λ°©μ‹μœΌλ‘œ κ°‘μž‘μŠ€λŸ½κ²Œ μ „ν™˜λ˜λŠ” 상황을 μ•ΌκΈ°ν•˜μ˜€λ‹€. μ½”λ‘œλ‚˜-19둜 μΈν•œ 세계적인 ꡐ윑 결손이 μ˜ˆμƒλ˜λŠ” μƒν™©μ—μ„œ, κ³Όν•™κ΅μœ‘ν•™μžλ“€μ€ λΉ„λŒ€λ©΄ 원격 μ‹€ν—˜ μˆ˜μ—…μ΄ κ°€μ Έμ˜¨ μ‹€ν—˜ ꡐ윑의 변화에 μ£Όλͺ©ν•˜λ©° κ·Έ μ „κ°œμ™€ 결과에 λŒ€ν•œ κ²½ν—˜μ μΈ 연ꡬλ₯Ό μ΄‰κ΅¬ν•˜μ˜€λ‹€. 이에 λ³Έ μ—°κ΅¬μžλŠ” λ‹€μŒκ³Ό 같은 두 가지 λͺ©ν‘œλ₯Ό μ§€λ‹ˆκ³  연ꡬλ₯Ό μˆ˜ν–‰ν•˜μ˜€λ‹€. 첫째, 원격 μ‹€ν—˜ μˆ˜μ—…μ΄λΌλŠ” 초유의 상황에 μ§λ©΄ν•˜μ—¬ 제기된 μ‹€ν—˜ ꡐ윑의 본질(essence)에 κ΄€ν•œ 근본적인 μ§ˆλ¬Έλ“€μ— λ‹΅ν•˜κ³ μž ν•œλ‹€. κ·ΈλŸ¬ν•œ μ§ˆλ¬Έλ“€μ€ λ‹€μŒκ³Ό 같이 μš”μ•½λ  수 μžˆμ„ 것이닀. (λ¬Έ 1) λŒ€ν•™μ€ λ¬Όλ‘  K-12 κ³Όν•™κ΅μœ‘μ— 이λ₯΄κΈ°κΉŒμ§€ μ‹€ν—˜ μˆ˜μ—… κ²½ν—˜μ˜ λ³Έμ§ˆμ€ 무엇인가? 만쑱슀러운 ν•™μŠ΅ κ²°κ³Όκ°€ μ–΄λŠ 정도 보μž₯λœλ‹€λ©΄ 원격 마인즈온 μˆ˜μ—…μ΄ ν•Έμ¦ˆμ˜¨ κ²½ν—˜μ„ λŒ€μ²΄ν•  수 μžˆλŠ”κ°€? (λ¬Έ 2) κ΅μˆ˜μžμ™€ ν•™μƒμ˜ μ‹œκ³΅κ°„μ  곡동-쑴재(co-presence)λŠ” ν•„μˆ˜μ μΈκ°€? (λ¬Έ 3) μš°λ¦¬λŠ” μ–΄λ–»κ²Œ 학생듀은 μžμ—° ν˜„μƒμ— λŒ€ν•œ νƒκ΅¬λ‘œ μ΄ˆλŒ€ν•˜κ³ , 그것을 μ‹€ν—˜ λ³΄κ³ μ„œμ—μ„œ 과학적 κΈ€μ“°κΈ°λ‘œμ„œ ν‘œν˜„ν•˜λ„λ‘ ν•  수 μžˆλŠ”κ°€? (λ¬Έ 4) μœ„μ— λŒ€ν•œ 닡은 μ„Έκ³„μ˜ μ—¬λŸ¬ λ¬Έν™” 및 그에 λ”°λ₯Έ κ΅μˆ˜μžμ™€ 학생 κ°„μ˜ μƒν˜Έμž‘μš©μ˜ νŠΉμ„±μ— 따라 λ‹¬λΌμ§€λŠ”κ°€? (λ¬Έ 5) μš°λ¦¬λŠ” μ–΄λ–»κ²Œ 일반적인 상황뿐 μ•„λ‹ˆλΌ κΈ΄κΈ‰ν•œ μƒν™©μ—μ„œλ„ μ‹€ν–‰ν•  수 μžˆλŠ” 효과적이고 적응적인 μ‹€ν—˜ μˆ˜μ—…μ„ 섀계할 수 μžˆλŠ”κ°€? 이에 λŒ€ν•œ μž μ •μ μΈ 닡을 μ—°κ΅¬μ˜ 이둠적 ν‹€κ³Ό ν•¨κ»˜ μ‚΄νŽ΄λ³΄κ³ , 보닀 직접적인 닡을 μ—°κ΅¬μ˜ 결과에 λΉ„μΆ˜ λ…Όμ˜μ—μ„œ μ œμ‹œν•˜κ³ μž ν•˜μ˜€λ‹€. λ‘˜μ§Έ, λ³Έ 논문은 2020년에 μ½”λ‘œλ‚˜-19둜 μΈν•˜μ—¬ μ΄‰λ°œλœ 원격 μ‹€ν—˜ μˆ˜μ—…μ— κ΄€ν•˜μ—¬ λŒ€ν•™μ—μ„œμ˜ 이곡계열 κ΅μœ‘μ— μ–΄λ– ν•œ ν˜„μƒμ΄ λ°œμƒν•˜μ˜€λŠ”μ§€λ₯Ό μ‘°μ‚¬ν•˜κ³  ν–₯ν›„μ˜ λŒ€ν•™ 원격 μ‹€ν—˜ μˆ˜μ—…μ„ μœ„ν•œ μ‹€μ œμ μΈ ν•¨μ˜λ₯Ό μ œκ³΅ν•˜λŠ” 일을 λͺ©ν‘œλ‘œ ν•˜μ˜€λ‹€. 보닀 ꡬ체적으둜, λ³Έ 논문은 λŒ€ν•™ κ΅μˆ˜μžλ“€μ΄ 2020λ…„ 봄학기에 νŒ¬λ°λ―Ήμ„ μ§λ©΄ν•˜μ—¬ μ–΄λ–»κ²Œ 원격 μ‹€ν—˜ μˆ˜μ—…μ„ μ‹€ν–‰(implement)ν•˜μ˜€λŠ”μ§€λ₯Ό ν•©λ¦¬μ μœΌλ‘œ μ„€λͺ…ν•˜κ³ (연ꡬ 1), ν•™μƒλ“€μ˜ λ°˜μ‘μ„ 톡해 κ·Έ 원격 μ‹€ν—˜ μˆ˜μ—…μ˜ κ²°κ³Όλ₯Ό μ‘°μ‚¬ν•˜λ©°(연ꡬ 3), 미래의 λŒ€ν•™ 원격 μ‹€ν—˜ μˆ˜μ—… 섀계λ₯Ό μœ„ν•œ μ‹€μ œμ μΈ 지침(guideline)을 μ œκ³΅ν•˜κ³ μž ν•˜μ˜€λ‹€. λ³Έ μ—°κ΅¬μ˜ ν˜„μž₯인 ν•œκ΅­λŒ€ν•™κ΅(κ°€λͺ…)의 상황이 μ΄λŸ¬ν•œ μ „λ°˜μ μΈ μ—°κ΅¬μ˜ μ‹œμž‘κ³Ό μˆ˜ν–‰μ„ κ°€λŠ₯ν•˜κ²Œ ν•˜μ˜€λ‹€. 이둠적 ν‹€λ‘œμ„œ, λŒ€ν•™ 원격 μ‹€ν—˜ μˆ˜μ—…μ„ μ‹€ν—˜ μˆ˜μ—…κ³Ό μ΄λŸ¬λ‹(e-learning)의 각 μš”μ†Œκ°€ κ΅μ°¨ν•˜λŠ” μ§€μ μœΌλ‘œ μ΄ν•΄ν•˜λŠ” 관점을 μ œμ•ˆν•˜μ˜€λ‹€. μš°μ„ , μ‹€ν—˜ μˆ˜μ—… λ˜λŠ” μ΄λŸ¬λ‹ μˆ˜μ—…μ„ μ‹€ν–‰ν•˜λŠ” μ΄μœ λŠ” μ‹€ν—˜ μˆ˜μ—…μ˜ λͺ©μ  λ˜λŠ” μ΄λŸ¬λ‹μ˜ κ°€λŠ₯μ„± 및 μš”κ΅¬μ— 놓여 μžˆλ‹€. ꡐ수 ν”„λ‘œκ·Έλž¨μ˜ μΌμ’…μœΌλ‘œμ„œ, μ‹€ν—˜ μˆ˜μ—…κ³Ό μ΄λŸ¬λ‹μ€ μ–΄λ–»κ²Œ λ‚΄μš©μ„ μ „λ‹¬ν•˜κ³ , ν•™μŠ΅μž κ°„ μƒν˜Έμž‘μš©μ„ μ΄‰μ§„ν•˜κ³ , 평가와 ν”Όλ“œλ°±μ„ μ œκ³΅ν•˜λŠ”μ§€λ₯Ό κ³ λ €ν•΄μ•Όλ§Œ ν•œλ‹€. 그리고 두 ν”„λ‘œκ·Έλž¨λ“€μ—μ„œ μ΄λŸ¬ν•œ μ„Έ μš”μ†Œλ“€μ€ μ„œλ‘œ μžμ—°μŠ€λŸ½κ²Œ λŒ€μ‘ν•œλ‹€. 2020λ…„μ˜ λ‹€μ–‘ν•œ λŒ€ν•™ 원격 μ‹€ν—˜ μˆ˜μ—…λ“€μ€ μ½”λ‘œλ‚˜-19 μƒν™©μ—μ„œ μ΄λŸ¬ν•œ 두 ꡐ윑적 전톡이 λ§Œλ‚˜μ„œ, κ΅ν˜Έν•˜λ©°, ν˜Όν•©λœ(blended) μ§€μ μ΄μ—ˆλ‹€. λ˜ν•œ 2020λ…„μ˜ λ‹€μ–‘ν•œ λŒ€ν•™ 원격 μ‹€ν—˜ μˆ˜μ—…λ“€μ˜ νŠΉμ„±μ€ μ‚¬νšŒλ¬Έν™”μ μΈ μš”μ†Œλ₯Ό ν¬ν•¨ν•˜λŠ” 각각의 κ΅μˆ˜ν•™μŠ΅ λ§₯λ½μ—μ„œ ν˜•μ„±λ˜μ—ˆλ‹€. 2020λ…„μ˜ λŒ€ν•™ 원격 μ‹€ν—˜ μˆ˜μ—… ꡐ수자 및 ν•™μƒλ“€λ‘œλΆ€ν„° 얻은 κ΅ν›ˆμ€(연ꡬ 1 및 2) λ³Έ μ—°κ΅¬μžκ°€ μ‹€ν—˜ κ΅μœ‘μ„ μœ„ν•˜μ—¬ ν™•μž₯된 λΈ”λ Œλ””λ“œ(blended) λŸ¬λ‹ 이해에 λ„λ‹¬ν•˜κ²Œ ν•˜μ˜€μœΌλ©°(2.3.4 μ°Έμ‘°) λŒ€ν•™ 원격 μ‹€ν—˜ μˆ˜μ—…μ„ μœ„ν•œ ꡐ수 섀계(instructional design) λͺ¨ν˜•μ˜ ν•„μš”μ„± μ—­μ‹œ μ œκΈ°ν•˜μ˜€λ‹€. κ³Όν•™κ΅μœ‘μ—μ„œμ˜ μ‹€ν—˜ μˆ˜μ—…μ— κ΄€ν•˜μ—¬, μ‹€ν—˜ μˆ˜μ—…μ˜ λͺ©μ κ³Ό, ν•Έμ¦ˆμ˜¨(hands-on) 및 마인즈온(minds-on) λ…ΌμŸκ³Ό, μ‹€ν—˜ λ³΄κ³ μ„œ μ“°κΈ° 및 ν”Όλ“œλ°± 방법을 κ³ μ°°ν•˜μ˜€λ‹€. μ΄λŸ¬λ‹ 및 효과적인 ꡐ수 μ „λž΅μ— κ΄€ν•˜μ—¬, μ΄λŸ¬λ‹μ˜ 전망 및 μš”κ΅¬μ™€, 맀체(media) μ œμ‹œμ™€, 온라인 μƒν˜Έμž‘μš©μ˜ 양상과, μ΄λŸ¬λ‹μ—μ„œμ˜ 평가 및 ν”Όλ“œλ°±μ„ μˆ™κ³ ν•˜μ˜€λ‹€. 원격 μ‹€ν—˜ μˆ˜μ—…μ˜ (재)μ°½λ°œμ— κ΄€ν•˜μ—¬λŠ” μ½”λ‘œλ‚˜-19 이전과 μ΄ν›„μ˜ 연ꡬ듀을 λŒμ•„λ³΄κ³ , ν•΄λ‹Ή μš©μ–΄μ˜ 의미λ₯Ό λ„μΆœν•˜μ˜€λ‹€. νŠΉλ³„νžˆ, 원격 μ‹€ν—˜ μˆ˜μ—…μ„ ν™•μž₯된 λΈ”λ Œλ””λ“œ λŸ¬λ‹μœΌλ‘œ μ΄ν•΄ν•˜λŠ” 관점을 μ œμ•ˆν•˜μ˜€λŠ”λ°, μ΄λŠ” 첫째둜 ν•Έμ¦ˆμ˜¨ 및 마인즈온 μ‹€ν—˜ κ²½ν—˜μ„ ν˜Όν•©ν•˜κ³  λ‘˜μ§Έλ‘œ μ‹€ν—˜ κ²½ν—˜λ“€κ³Ό ν•™μŠ΅ 곡간듀을 ν˜Όν•©ν•˜λŠ” κ²ƒμ΄μ—ˆλ‹€. λ”ν•˜μ—¬, κ³Όν•™κ΅μœ‘μ—μ„œμ˜ ꡐ수자 ν–‰μœ„μ£Όμ²΄μ„±(agency)을 ν™œμš©ν•˜μ—¬ λŒ€ν•™μ˜ 이곡계열 κ΅μˆ˜μžλ“€μ΄ 원격 μ‹€ν—˜ μˆ˜μ—…μ„ μ‹€ν–‰ν•  λ•Œμ˜ 적응적인 행동을 ν•΄μ„ν•˜μ˜€λ‹€. μš°λ¦¬λ‚˜λΌ κ³Όν•™ κ΅μˆ˜μžλ“€μ˜ ν–‰μœ„μ£Όμ²΄μ„±μ— λŒ€ν•œ μ‚¬νšŒλ¬Έν™”μ  μ‹œκ°μ€ μ—°κ΅¬μžμ˜ ν•΄μ„μ˜ 지평을 κ±°μ‹œμ (macro-), μ€‘μ‹œμ (meso-), 그리고 λ―Έμ‹œμ (micro-) μˆ˜μ€€μ˜ ꡬ쑰(structure)λ“€λ‘œ μ •κ΅ν™”ν•˜μ˜€λ‹€. λ˜ν•œ, κ΅μœ‘κ³΅ν•™ λΆ„μ•Όμ—μ„œμ˜ 섀계 및 개발 연ꡬ 관점에 따라 μœ μ—°ν•˜κ³ (flexible) 반볡적인(iterative) ꡐ수 섀계 λͺ¨ν˜•μ˜ μœ μš©μ„±μ„ μ œμ•ˆν•˜μ˜€μœΌλ©°, μ΄λŠ” 외적 타당화λ₯Ό μœ„ν•œ μˆ˜μ—… λͺ¨λ“ˆ λ„μΆœ κ³Όμ •μ—μ„œμ˜ λž˜ν”Όλ“œ ν”„λ‘œν† νƒ€μ΄ν•‘(rapid prototyping)을 ν¬ν•¨ν•˜λŠ” κ²ƒμ΄μ—ˆλ‹€. 연ꡬ 1μ—μ„œ, μ—°κ΅¬μžλŠ” ν•œκ΅­λŒ€ν•™κ΅μ—μ„œ μ½”λ‘œλ‚˜-19 이전에 μ„œλ‘œ λΉ„μŠ·ν•˜μ˜€λ˜ 일반 물리학, ν™”ν•™, 생물학, 지ꡬ과학 μ‹€ν—˜λΏλ§Œ μ•„λ‹ˆλΌ 2개의 전곡 ꡐ과 μ‹€ν—˜ μˆ˜μ—…μ„ λΉ„κ΅ν•˜μ˜€λ‹€. μ—°κ΅¬μžλŠ” λŒ€ν•™ 원격 μ‹€ν—˜ μˆ˜μ—… ν˜„μƒμ˜ μ°½λ°œμ„ μ‚¬νšŒλ¬Έν™”μ  κ΄€μ μ—μ„œ ν•΄μ„ν•˜μ˜€λŠ”λ°, 이 λ•Œ μ½”λ‘œλ‚˜-19 팬데믹과 ꡐ윑 당ꡭ에 μ˜ν•˜μ—¬ λΆ€κ³Όλœ ꡬ쑰 및 λŒ€ν•™ κ΅μˆ˜μžλ“€μ˜ ν–‰μœ„μ£Όμ²΄μ„±μ— μ£Όλͺ©ν•˜μ˜€λ‹€. κ±°μ‹œμ  μˆ˜μ€€μ˜ ν•œκ΅­ λ§₯락, μ€‘μ‹œμ  μˆ˜μ€€μ˜ ν•œκ΅­λŒ€ν•™κ΅ λ§₯락, 그리고 λ―Έμ‹œμ  μˆ˜μ€€μ˜ κ°œλ³„ λŒ€ν•™ 원격 μ‹€ν—˜ μˆ˜μ—… λ§₯락은 μ„œλ‘œ 뿐만 μ•„λ‹ˆλΌ λŒ€ν•™ ꡐ수자의 ν–‰μœ„μ£Όμ²΄μ„±κ³Όλ„ λ°€μ ‘ν•˜κ²Œ μƒν˜Έμ—°κ΄€λ˜μ–΄ μžˆμ—ˆλ‹€. 2020λ…„ 봄학기에, ꡐ수자의 ν–‰μœ„μ£Όμ²΄μ„±μ€ μ΄λŸ¬ν•œ 닀측적(multi-level) ꡬ쑰듀에 μ˜ν•˜μ—¬ λͺ¨μ–‘μ§€μ–΄μ‘Œλ‹€(shaped). κ·ΈλŸ¬λ‚˜, κ°œλ³„ ꡐ과(discipline)에 따라 μ‹€ν–‰λœ λŒ€ν•™ 원격 μ‹€ν—˜ μˆ˜μ—…μ€ κ΅μˆ˜μžκ°€ νˆ¬μž…ν•œ λ…Έλ ₯에 따라 μƒλ‹Ήνžˆ λ‹€μ–‘ν•˜κ²Œ λ˜μ—ˆλ‹€. λŒ€ν•™ κ΅μˆ˜μžλ“€μ˜ 고렀사항은 λ™μ˜μƒ 자료, μ‹€ν—˜ λ°μ΄ν„°μ˜ νŠΉμ„±, μžμ‹ λ“€κ³Ό 학생듀 κ°„μ˜ μ œν•œλœ μƒν˜Έμž‘μš©, ν‰κ°€μ˜ 어렀움, 그리고 학생듀이 ν•Έμ¦ˆμ˜¨ κ²½ν—˜μ΄ 없이 원격 μ‹€ν—˜ μˆ˜μ—…μ—μ„œ 무엇을 얻을(gain) 수 μžˆλŠ”κ°€ ν•˜λŠ” μ μ΄μ—ˆλ‹€. 2020λ…„ 가을학기뢀터 λŒ€ν•™ κ΅μˆ˜μžλ“€μ€ 상황에 μ μ‘ν•˜μ—¬ μžμ‹ λ“€μ˜ 원격 μ‹€ν—˜ μˆ˜μ—…μ„ κ°œμ„ ν•˜μ˜€μœΌλ©°, 더 λ§Žμ€ κ°œμ„ μ λ“€μ„ μ œμ•ˆν•˜μ˜€λ‹€. 연ꡬ 1의 κ²°κ³ΌλŠ” λŒ€ν•™ ꡐ수자의 ν–‰μœ„μ£Όμ²΄μ„±μ΄ μž„λ°•ν•œ κΈ΄κΈ‰ μƒν™©μ—μ„œ λ‹€μ–‘ν•œ 원격 μ‹€ν—˜ μˆ˜μ—… 싀행이 μ°½λ°œν•˜λŠ” κ²°κ³Όλ₯Ό λ‚³μ•˜μŒμ„ 보여쀀닀. 연ꡬ 2λŠ” 연ꡬ 1κ³Ό λ°œλ§žμΆ”μ–΄ ν•œκ΅­λŒ€ν•™κ΅μ—μ„œ μˆ˜ν–‰λ˜μ—ˆλ‹€. μ—°κ΅¬μžλŠ” λŒ€ν•™μƒλ“€μ΄ μ„œλ‘œ λ‹€λ₯Έ ꡐ과의 λ‹€μ–‘ν•œ 원격 μ‹€ν—˜ μˆ˜μ—… κ²½ν—˜μ„ μ–΄λ–»κ²Œ μΈμ‹ν•˜μ˜€λŠ”μ§€λ₯Ό μ‘°μ‚¬ν•˜μ˜€λ‹€. 연ꡬ 2λŠ” ν˜Όν•© μ—°κ΅¬λ‘œμ„œ, 338λͺ…μ˜ ν•™μƒλ“€λ‘œλΆ€ν„° 온라인 μ„€λ¬Έ 응닡을 μ–»μ—ˆμœΌλ©° 18λͺ…μ˜ 학생듀과 인터뷰λ₯Ό μ‹€μ‹œν•˜μ˜€λ‹€. 뢄산뢄석(ANOVA)κ³Ό Bonferroni 사후 검정을 톡해 원격 μ‹€ν—˜ μˆ˜μ—… κ²½ν—˜μ— λŒ€ν•œ ν•™μƒλ“€μ˜ 인식이 ꡐ과(물리, ν™”ν•™, 생물, 지ꡬ과학, λ‹€λ₯Έ 전곡 κ³Όλͺ©)에 따라 ν†΅κ³„μ μœΌλ‘œ μœ μ˜λ―Έν•˜κ²Œ λ‹€λ₯΄λ‹€λŠ” 점을 λ°œκ²¬ν•˜μ˜€λ‹€(p < .05). λ”ν•˜μ—¬, 학생 μΈν„°λ·°λŠ” μ΄λŸ¬ν•œ 차이듀이 κ°œλ³„ ꡐ과λͺ©μ—μ„œ μ°½λ°œν•œ ꡐ수 μ „λž΅μ— μ˜ν•˜μ—¬ λ°œμƒν•˜μ˜€μŒμ„ λ“œλŸ¬λ‚΄μ—ˆλ‹€. ν–₯ν›„μ˜ 효과적인 원격 μ‹€ν—˜ μˆ˜μ—…μ„ μœ„ν•œ μ „λž΅μœΌλ‘œμ„œ, μˆ˜μ—…μ˜ λͺ©μ μ„ λͺ…ν™•νžˆ μ„€μ •ν•˜κΈ°, μ‹€ν—˜ λ™μ˜μƒμ„ μ„Έμ‹¬ν•˜κ²Œ μ„€κ³„ν•˜κΈ°, λ™μ‹œμ (synchronous) 온라인 ν˜‘λ ₯ μ„Έμ…˜ μ œκ³΅ν•˜κΈ°, μ‹€ν—˜ λ³΄κ³ μ„œ μž‘μ„±μ— λŒ€ν•œ ν”Όλ“œλ°±μ„ μ œκ³΅ν•˜κ³  보좩적 평가λ₯Ό μ‹€μ‹œν•˜κΈ° 등을 μ œμ•ˆν•˜μ˜€λ‹€. 연ꡬ 3μ—μ„œ μ—°κ΅¬μžλŠ” λŒ€ν•™ 원격 μ‹€ν—˜ μˆ˜μ—…μ„ μœ„ν•œ λΈ”λ Œλ””λ“œ μ‹€ν—˜ 및 μ΄λŸ¬λ‹ ꡐ수 섀계(Blended Laboratory and E-learning iNstructional Design, BLEND) λͺ¨ν˜•μ„ κ°œλ°œν•˜κ³  νƒ€λ‹Ήν™”ν•˜μ˜€λ‹€. νŒ¬λ°λ―Ήμ— μ˜ν•˜μ—¬ μš”λ™ν•˜λŠ” ꡐ수 ν™˜κ²½μ— λŒ€μ‘ν•˜κΈ° μœ„ν•΄, μ—°κ΅¬μžλŠ” ꡐ수 섀계 λͺ¨ν˜•μ„ μ‹ μ†ν•˜κ²Œ κ΅¬μΆ•ν•˜μ—¬ μ‹€μ œμ  ν•™μŠ΅ λ§₯락에 μ μš©ν•˜κ³ , μ°Έμ—¬μžμ˜ ν”Όλ“œλ°±μ„ ν†΅ν•œ 반볡적(iterative) λͺ¨ν˜• μˆ˜μ •μ„ μ‹œλ„ν•˜μ˜€λ‹€. 연ꡬ λ§₯락은 μ˜ˆλΉ„ ν™”ν•™ ꡐ사듀을 μœ„ν•œ λΆ„μ„ν™”ν•™μ‹€ν—˜ κ°•μ’Œμ˜€λ‹€. 초기 BLEND λͺ¨ν˜•μ€ λ¬Έν—Œ 리뷰 및 2020λ…„μ˜ 연ꡬ 1κ³Ό 연ꡬ 2의 κ΅ν›ˆμ— κΈ°λ°˜ν•˜μ—¬ λ„μΆœλ˜μ—ˆλ‹€. 내적(internal) 타당화λ₯Ό μœ„ν•΄ 6λͺ…μ˜ μ΄ν•΄λ‹Ήμ‚¬μž(stakeholder)κ°€ μ‚¬μš©μ„± 평가(usability test)에 μ°Έμ—¬ν•˜μ˜€μœΌλ©°, λ‹€μ–‘ν•œ κ³Όν•™ ꡐ과 배경의 10λͺ…μ˜ λ‚΄μš© 전문가와 3λͺ…μ˜ κ΅μœ‘κ³΅ν•™ μ „λ¬Έκ°€κ°€ μ „λ¬Έκ°€ 리뷰λ₯Ό μ œκ³΅ν•˜μ˜€λ‹€. 외적(external) 타당화λ₯Ό μœ„ν•΄ ν•΄λ‹Ή μ‹œκΈ°μ˜ ꡐ수 섀계 λͺ¨ν˜•μ„ 기반으둜 λŒ€ν•™ 원격 μ‹€ν—˜ μˆ˜μ—… λͺ¨λ“ˆμ΄ 개발 및 μ‹€ν–‰λ˜μ—ˆκ³ , ν•΄λ‹Ή κ°•μ’Œλ₯Ό μˆ˜κ°•ν•˜λŠ” 7λͺ…μ˜ λŒ€ν•™μƒλ“€μ΄ 온라인 μ„€λ¬Έ 및 후속 인터뷰에 μ°Έμ—¬ν•˜μ˜€λ‹€. 2회기의 타당화 과정을 거쳐, BLEND λͺ¨ν˜•μ€ λ‚΄μ μœΌλ‘œ 효율적이며(efficient) μ™Έμ μœΌλ‘œ 효과적(effective)인 κ²ƒμœΌλ‘œ νƒ€λ‹Ήν™”λ˜μ—ˆλ‹€. 이 λ•Œ ꡐ수자 및 학생 κ°„μ˜ 높은 μƒν˜Έμž‘μš©μ΄ νŠΉλ³„νžˆ μ£Όλͺ©λ˜μ—ˆλ‹€. λŒ€ν•™ 원격 μ‹€ν—˜ μˆ˜μ—…μ„ μœ„ν•œ μ΅œμ’… BLEND λͺ¨ν˜•μ€ 지속적인 ν˜•μ„± 평가와 ν”Όλ“œλ°±μ„ μ€‘μ‹œν•˜λ©°, 주별 그리고 κ°•μ’Œλ³„ μˆ˜μ€€μ—μ„œμ˜ 원격 μ‹€ν—˜ μˆ˜μ—… ꡐ수 체제λ₯Ό κ΅¬μ‘°ν™”ν•˜κ³  μ‹œκ°ν™”ν•˜μ˜€λ‹€. 연ꡬ 3은 κ³Όν•™κ΅μœ‘μ—μ„œ 섀계 및 개발 연ꡬ 방법을 μ μš©ν•œ λ“œλ¬Έ 사둀이닀. λ³Έ μ—°κ΅¬μ—μ„œ λͺ¨λ‘ ν•΄κ²°λ˜μ§€ μ•Šκ³  μ—¬μ „νžˆ 후속 연ꡬλ₯Ό μš”κ΅¬ν•˜λŠ” μŸμ λ“€μ€ λ‹€μŒκ³Ό κ°™λ‹€: (1) 원격 μ‹€ν—˜ ν˜•μ‹μ΄ μš”κ΅¬ν•˜λŠ” 바와 각각의 κ³Όν•™ κ³Όλͺ©(물리, ν™”ν•™, 생물, 지ꡬ과학 λ“±)의 νŠΉμ„± μ‚¬μ΄μ˜ μƒν˜Έμž‘μš©μ΄ 더 μžμ„Ένžˆ κ³ μ°°λ˜μ–΄μ•Ό ν•œλ‹€. (2) μ‹€ν—˜ λ™μ˜μƒμ„ μ–΄λ–»κ²Œ μ„€κ³„ν•˜κ³ , μ΄¬μ˜ν•˜λ©°, νŽΈμ§‘ν•΄μ•Ό ν•˜λŠ”μ§€μ˜ λ¬Έμ œκ°€ μ—¬μ „νžˆ μ€‘μš”ν•˜λ‹€. (3) κ°œλ°©ν˜•(open-ended) 탐ꡬ μ‹€ν—˜ μˆ˜μ—…μ„ μœ„ν•œ ꡐ수 섀계 λͺ¨ν˜•μ΄ ν–₯ν›„μ˜ μ€‘μš”ν•œ 연ꡬ μ£Όμ œμ΄λ‹€. 이 경우, κ°œλ°©ν˜• 탐ꡬ μˆ˜μ—… ν”„λ‘œκ·Έλž¨μ„ μ–΄λ–»κ²Œ 평가할 것인지 μ—­μ‹œ λ°˜λ“œμ‹œ λ¨Όμ € ν•΄κ²°λ˜μ–΄μ•Ό ν•  연ꡬ μ£Όμ œκ°€ 될 것이닀. λ³Έ μ—°κ΅¬μ˜ 강점은 2020λ…„ 및 2021λ…„μ˜ ν•œκ΅­λŒ€ν•™κ΅λΌλŠ” 연ꡬ ν˜„μž₯의 λ…νŠΉμ„±μ— κΈ°μΈν•œλ‹€. λ³Έ μ—°κ΅¬λŠ” μ½”λ‘œλ‚˜-19 초기 μƒν™©μ—μ„œ μ°½λ°œν•œ 원격 μ‹€ν—˜ μˆ˜μ—…μ— κ΄€ν•˜μ—¬ μƒλ‹Ήνžˆ λ§Žμ€ 데이터λ₯Ό μˆ˜μ§‘ν•œ 연ꡬ μ‚¬λ‘€λ‘œ 보인닀. κ·ΈλŸ¬λ―€λ‘œ, 연ꡬ 1μ—μ„œ 연ꡬ 3에 이λ₯΄λŠ” μž‘μ—…μ€ μ½”λ‘œλ‚˜-19의 초기 λ‹¨κ³„μ—μ„œ λ‚˜νƒ€λ‚œ 원격 μ‹€ν—˜ μˆ˜μ—… ν˜„μƒμ„ ν¬κ΄„μ μœΌλ‘œ λ³΄κ³ ν•˜λ €λŠ” μ‹œλ„λΌκ³  ν•  수 μžˆλ‹€. ν•˜μ§€λ§Œ μ—­μ„€μ μœΌλ‘œ. λ³Έ μ—°κ΅¬μ˜ 강점을 λ§Œλ“€μ—ˆλ˜ μ½”λ‘œλ‚˜-19 상황은 μ‹œκ°„μ΄ μ§€λ‚˜κ³  상황이 변화함에 따라 μ–‘λ‚ μ˜ κ²€μœΌλ‘œ μž‘μš©ν•  수 μžˆλ‹€. 결과적으둜, 포슀트-μ½”λ‘œλ‚˜-19 μ‹œλŒ€μ— 원격 μˆ˜μ—…, 특히 원격 μ‹€ν—˜ μˆ˜μ—…μ˜ μ§€μœ„κ°€ 어떠할지λ₯Ό μ˜ˆμƒν•˜κΈ°λž€ 쉽지 μ•Šλ‹€. λ§Œμ•½ μš°λ¦¬κ°€ 낙관적인 μ‹œμ„ μ„ μ·¨ν•œλ‹€λ©΄, λŒ€ν•™ 원격 μ‹€ν—˜ μˆ˜μ—…μ— λŒ€ν•œ 우리의 κ²½ν—˜μ€ μ‹€ν—˜ κ΅μœ‘μ— λŒ€ν•œ 우리의 상상을 ν™•μž₯μ‹œμΌœ, μ‹œκ°„κ³Ό 곡간을 λ„˜λ‚˜λ“€λ©° λ‹€μ–‘ν•œ ν•™μŠ΅ 양상을 ν†΅ν•©ν•˜λŠ” λΈ”λ Œλ””λ“œν˜•μ‹μ„ ν–₯ν•΄ μ „μ§„ν•˜κ²Œ ν•  것이닀. μ‹€μ œλ‘œ, μ‹€ν—˜ κ΅μœ‘μ„ μœ„ν•΄ ν™•μž₯된 λΈ”λ Œλ””λ“œ λŸ¬λ‹ μ΄ν•΄λŠ” ν•Έμ¦ˆμ˜¨ λŒ€ 마인즈온, λ™μ‹œμ  λŒ€ λΉ„λ™μ‹œμ , ν˜„μž₯ λŒ€ 원격 λ“±μ˜ 였랜 이뢄법을 λ„˜μ–΄ 더 λ‚˜μ€ μ‹€ν—˜ ꡐ윑으둜 λ‚˜μ•„κ°€λŠ” 길을 λΉ„μΆ˜ 면이 μžˆλ‹€. μ΄μ™€λŠ” λ°˜λŒ€λ‘œ, λ§Œμ•½ μš°λ¦¬κ°€ 비관적인 μ‹œμ„ μ„ μ·¨ν•œλ‹€λ©΄, 원격 μ‹€ν—˜ μˆ˜μ—…μ— λŒ€ν•œ 우리의 μ‹¬κ°ν•œ κ³ μ°° μ—­μ‹œ μ–Έμ  κ°€ μ‚¬λΌμ§ˆ 수 있으며, μ΄λŠ” κ΅μœ‘μ‚¬μ—μ„œ λ§Žμ€ ꡐ수 방법듀이 κ·ΈλŸ¬ν–ˆλ˜ 것과 λ§ˆμ°¬κ°€μ§€μ΄λ‹€. κ·ΈλŸ¬λ―€λ‘œ, μƒκΈ°ν•˜μ˜€λ“― μ½”λ‘œλ‚˜-19둜 μΈν•˜μ—¬ μš°λ¦¬κ°€ κ²½ν—˜ν•œ 원격 μ‹€ν—˜ μˆ˜μ—…μ„ 톡해 재발견된 μ‹€ν—˜ μˆ˜μ—…μ˜ λ³Έμ§ˆμ— κ΄€ν•œ 근본적인 μ§ˆλ¬Έλ“€(λ¬Έ 1-5)에 λ‹΅ν•˜λŠ” 일이 μš”μ²­λœλ‹€. μ—¬κΈ°μ„œ μ΄λŸ¬ν•œ μ§ˆλ¬Έλ“€μ— λ‹΅ν•˜λŠ” κ°€μž₯ νŽΈλ¦¬ν•œ 방법은 각 μ‹€ν—˜ μˆ˜μ—…μ—μ„œ μ •ν•˜λŠ” ν•™μŠ΅ λͺ©ν‘œμ˜ νŠΉμˆ˜μ„±μ— μ˜μ‘΄ν•˜λŠ” κ²ƒμ΄κ² μ§€λ§Œ, μ΄λŸ¬ν•œ λ‹¨μˆœν•œ 해결책은 포슀트-μ½”λ‘œλ‚˜-19 μ‹€ν—˜ κ΅μœ‘μ„ μœ„ν•œ 더 μ‹¬ν™”λœ 고찰둜 λ‚˜μ•„κ°€λŠ” 길을 열어쀄 수 μ—†λ‹€. κ·ΈλŸ¬λ―€λ‘œ, μœ„μ—μ„œ 제기된 5κ°€μ§€μ˜ μ§ˆλ¬Έλ“€μ— λŒ€ν•΄ λ³Έ μ—°κ΅¬μ˜ μ°Έμ—¬μžλ“€μ˜ λͺ©μ†Œλ¦¬λ‘œλΆ€ν„° 보닀 ꡬ체적인 닡을 ν•΄λ³΄λŠ” 일이 의미 μžˆμ„ 것이닀: (λ‹΅ 1) 학생듀이 μ‹€ν—˜ κΈ°λŠ₯(skill)을 함양할 뿐만 μ•„λ‹ˆλΌ μ˜ˆμƒν•˜μ§€ λͺ»ν–ˆλ˜ ν˜„μƒκ³Ό ν•¨κ»˜ 암묡적 지식(tacit knowledge) 및 κ³Όν•™μ˜ λ³Έμ„±(nature of science)을 직면할 기회λ₯Ό μ œκ³΅ν•˜κΈ° μœ„ν•˜μ—¬, ν•™μƒλ“€μ—κ²Œ μ΅œμ†ŒλΆˆκ°€κ²°μ˜ ν•Έμ¦ˆμ˜¨ κ²½ν—˜μ„ μ œκ³΅ν•΄μ•Ό ν•œλ‹€. λΈ”λ Œλ””λ“œ λŸ¬λ‹ ν˜•μ‹μ€ ν•Έμ¦ˆμ˜¨ κ²½ν—˜κ³Ό 마인즈온 κ²½ν—˜μ„ λͺ¨λ‘ κ°–κ²Œ ν•˜λŠ” λŒ€μ•ˆμ΄ 될 수 μžˆλ‹€. (λ‹΅ 2) κ΅μˆ˜μžμ™€ 학생듀은 μ‹œκ°„μ μΈ μΈ‘λ©΄μ—μ„œλŠ” λ°˜λ“œμ‹œ λ™μ‹œμ  μƒν˜Έμž‘μš©μ„ ν•΄μ•Όλ§Œ ν•œλ‹€. λ‹€λ§Œ, κ·Έ 듀이 κ³΅κ°„μ μœΌλ‘œ ν•¨κ»˜ μžˆλŠ” 일이 ν•„μˆ˜μ μΈμ§€λŠ” λͺ…ν™•ν•˜μ§€ μ•Šλ‹€. (λ‹΅ 3) λ§Œμ•½ κ°€λŠ₯ν•˜λ‹€λ©΄, ν•™κΈ° λ‹¨μœ„μ˜ κ°œλ°©ν˜• μ‹€ν—˜ μˆ˜μ—…μ„ μ§„ν–‰ν•˜λŠ” 것이 학생듀을 깊이 μžˆλŠ” 탐ꡬ적 μ‚¬κ³ λ‘œ μ΄ˆλŒ€ν•˜λŠ” κ°€μž₯ 쒋은 κΈ°νšŒκ°€ 될 것이닀. ν•˜μ§€λ§Œ, ν˜„μ‹€μ μœΌλ‘œ μš”λ¦¬μ±…(cookbook) ν˜•μ‹μ˜ μ‹€ν—˜ μˆ˜μ—…λ“€μ—μ„œλŠ” 이둠적 예츑과 μ‹€μ œ μ‹€ν—˜ 데이터 μ‚¬μ΄μ˜ κ°„κ·Ήλ§Œμ΄ 탐ꡬ가 μΌμ–΄λ‚˜κ²Œ λ˜λŠ” μœ μΌν•œ 지점일 수 μžˆλ‹€. κ·ΈλŸ¬λ―€λ‘œ, μ˜ˆλΉ„μ‹€ν—˜(pre-lab) ν™œλ™, 데이터 νŠΉμ„±, λ™λ£Œ ν† λ‘ (discussion)이 주의 깊게 μ„€κ³„λ˜μ–΄μ•Ό ν•œλ‹€. (λ‹΅ 4) λ§Œμ•½ μ‹€ν—˜ μˆ˜μ—… ν˜„μž₯을 λ‘˜λŸ¬μ‹Ό λ¬Έν™”κ°€ 인지적 κ²½λ‘œλ‘œμ„œμ˜ 손(hand) λ˜λŠ” 마음(mind)을 κ°•μ‘°ν•˜κ±°λ‚˜, κ΅μˆ˜μžμ™€ 학생 κ°„μ˜ μƒν˜Έμž‘μš©μ„ 수직적으둜 λ˜λŠ” μˆ˜ν‰μ μœΌλ‘œ λ§Œλ“ λ‹€λ©΄, κ·Έλ ‡λ‹€κ³  ν•  수 μžˆλ‹€. (λ‹΅ 5) ꡐ수 μ²΄μ œμ— λŒ€ν•œ ν˜•μ„± ν‰κ°€λΌλŠ” κ°œλ…μ΄ μ‹€ν—˜ μˆ˜μ—…μ„ 더 적응적이고(adaptive) μœ μ—°ν•˜κ²Œ λ§Œλ“œλŠ” 방법일 수 μžˆλŠ”λ°, 이것은 연ꡬ 3μ—μ„œ 개발된 BLEND λͺ¨ν˜•μ—μ„œ 잘 λ“œλŸ¬λ‚œλ‹€. 2020λ…„ ν•œκ΅­λŒ€ν•™κ΅μ˜ κ΅μˆ˜μžμ™€ ν•™μŠ΅μžλ“€μ€ λŒ€ν•™ 원격 μ‹€ν—˜ μˆ˜μ—…μ„ μ‹€ν–‰ν•˜κ³  μˆ˜κ°•ν•˜κΈ° μœ„ν•΄ λ…Έλ ₯ν•œ μ§„μ •ν•œ ν–‰μœ„μžλ“€(agents)μ΄μ—ˆλ‹€. 그리고 그듀이 남긴 κ΅ν›ˆμ΄μ•Όλ§λ‘œ 포슀트-μ½”λ‘œλ‚˜-19 μ‹€ν—˜ μˆ˜μ—…μ„ ν–₯ν•˜λŠ” BLEND λͺ¨ν˜•μ˜ 개발 및 μ‹€ν—˜ μˆ˜μ—…μ˜ λ³Έμ§ˆμ— κ΄€ν•œ 고찰을 κ°€λŠ₯ν•˜κ²Œ ν•˜μ˜€λ‹€.The COVID-19 situation in 2020 and the so-called social distancing preventive policy necessitated the sudden shift of university laboratory courses from a conventional face-to-face format into an unfamiliar non-face-to-face one. Amidst the unexpected educational losses worldwide, science education scholars focused on the changes in laboratory education brought by remote laboratory course format and urged empirical studies on them. The researcher had two research purposes throughout this study. First, it was to answer fundamental questions on the essence of laboratory education that were raised facing the unprecedented global implementation of remote laboratory courses. (Q1) What is the essence of the laboratory experience from the university to K-12 science education? If satisfactory learning outcomes are secured to some extent, can (remote) minds-on experience replace hands-on one? (Q2) Is spatio-temporal co-presence of instructors and students necessary? (Q3) How can we invite students to an inquiry about natural phenomena, which would be represented in their scientific writing in their lab report? (Q4) Do the answers differ according to the characteristics of interaction among instructors and students and in different cultures worldwide? (Q5) How can we design a laboratory course that is both effective and adaptive that can be implemented in both normal and emergency situations? The tentative answers were explored while reviewing theoretical backgrounds and more direct answers were given while discussing the specific results of this study. Second, it was to investigate what happened in the university STEM education sites concerning remote labs necessitated by the COVID-19 in 2020 and provide implications for future University Remote Laboratories (URLs). More specifically, it was to rationalize how university instructors implemented their remote labs in the spring semester of 2020 facing the imminent pandemic (Study 1), investigate the consequence of those remote labs via university students response (Study 2), and prescribe practical guidelines for future remote lab design (Study 3). The research field of Hankuk University (pseudonym) initiated and enabled this overall research. A framework to understand URL as the locus where the components of laboratory sessions and e-learning intersect was suggested. The reasons for implementing laboratory or e-learning courses lie in the purpose of laboratory or the promises and requirements of e-learning. As instructional programs, laboratory and e-learning should consider how the content is delivered, interactions between learners promoted, and assessment and feedback are provided. And those three factors in both programs naturally correspond to each other. The COVID-19 situation made the two strands of educational tradition meet, interplay, and blended in the various URL courses that emerged in 2020. The characteristics of the URL courses in 2020 were shaped according to each teaching and learning context, which includes sociocultural factors. And the lessons from URL instructors and students in 2020 (Study 1 and 2) led the researcher to an extended understanding of blended learning for laboratory education (see 2.3.4) and raised the need for an instructional design (ID) model for URLs (see 2.5 and Study 3). For laboratory in science education, the purpose of laboratory, hands-on versus minds-on debate, interaction in laboratory, and lab report writing and feedback were contemplated. For e-learning and effective teaching strategies, the promises and requirements of e-learning, media presentation, aspects of online interaction, and assessment and feedback in e-learning were deliberated. For (re-)emergence of remote laboratory, studies before and after the COVID-19 were reviewed, and its meaning was revisited. Particularly, understanding remote laboratory as extended blended learning was suggested, which first blends the hands-on and minds-on laboratory experiences and second laboratory experiences and learning spaces. Further, the instructor agency framework in science education was utilized to interpret the adaptive behavior of university STEM instructors while implementing their remote lab courses. The sociocultural perspective on Korean science instructors agency elaborated the researchers horizon of interpretation in macro-, meso- and micro- level structures. Also, the notion of design and development research in educational technology assured the utility of an ID model that is adaptive and flexible, which includes rapid prototyping (RP) when eliciting the course module for external validation. In Study 1, the researcher compared four general remote labs, each for physics, chemistry, biology, and earth science, that were previously similar, and two major course labs at Hankuk University. The emergence of URL phenomena was interpreted from a sociocultural perspective, focusing on the structure posed by the COVID-19 pandemic and the educational authorities and the agency of university instructors. The macro-level context of Korea, the meso-level context of Hankuk University, and the micro-level context of each URL were closely interconnected with each other and the university instructors agency. In the spring semester of 2020, instructors agency was strongly shaped by the multi-level structures. However, the implemented URL in each discipline became quite various due to the endeavor instructors put in. The university instructors concerns were about video materials, data characteristics, limited interactions between them and students, difficulties in evaluation, and what students could gain from the URLs without hands-on experience. Since the fall semester of 2020, instructors have adapted to the situation, revised their URLs, and suggested further improvements. Study 1 reveals that university instructors agency led to the emergence of various remote laboratory course implementations in the context of an imminent emergency. In Study 2, in step with Study 1, the researcher investigated how Hankuk University students perceived various remote laboratory course experiences in different content disciplines. Conducted as a mixed-methods study, online survey responses were collected from 338 students, and in-depth interviews were conducted with 18 students. ANOVA and Bonferroni post hoc tests of survey responses found that students perceptions of their URL experiences were significantly different (p < .05) dependent on content discipline (physics, chemistry, biology, earth science, and other majors). In addition, student interviews revealed that these differences in perceptions resulted from the different emergent teaching strategies used in each course. Suggestions were made for clearly setting learning objectives, carefully designing videos of experiments, offering collaborative synchronous online sessions, providing guidance and feedback for lab report writing, and introducing supportive assessments as strategies for future implementation of remote labs. In Study 3, the BLEND (Blended Laboratory and E-learning iNstructional Design) ID model for URL was developed and validated. To respond to the fluctuating instructional environment of the pandemic, an ID model was promptly constructed and applied in the authentic learning context, iteratively revising the model with participant feedback. The research context was an Analytical Chemistry Experiment (ACE) course for pre-service chemistry teachers. The initial BLEND model was based on a literature review and lessons from Study 1 and 2 in 2020. For internal validation, six stakeholders participated in the usability test, and 10 subject-matter experts from various science disciplines and three educational technology experts provided expert reviews. For external validation, the URL course module was developed and implemented from the ID model, and seven university students who took the course responded to online surveys and participated in follow-up interviews. After two rounds of validation, the BLEND model was confirmed to be internally efficient and externally effective. The interactions with the instructor and peers, in particular, were highly appreciated. The finalized BLEND model for URL emphasizes constant formative evaluation and feedback and structures and visualizes the URL instructional system at both the weekly and overall course levels. Study 3 is a rare case of applying a design and development research method to science education. Some issues were not resolved in this study and need follow-up research: (1) The interplay between the requirements of remote lab format and the nature of each science discipline (i.e., physics, chemistry, biology, and earth science) should be scrutinized. (2) How the experiment video should be designed, shot, and edited remains crucial. (3) An ID model for open-ended inquiry laboratory is a plausible future research topic. Then, how to evaluate the open-ended inquiry module arises as an essential prerequisite, which is also an important research agenda. The strength of this study lies in its unique research field - Hankuk University in 2020 and 2021. This study seems to have collected extensive data for various remote lab courses that emerged in the initial situation of the COVID-19. Therefore, Study 1 to Study 3 can be said the attempts that report the URL phenomena during the early stage of the COVID-19 comprehensively. However, ironically, the COVID-19 situation that shaped the strength of this study can also be a double-edged sword as time passes and the situation changes. Consequently, the status of remote teachings, especially of remote labs in the post-COVID-19 era, is hard to predict. If we take an optimistic view, our experience of URLs will broaden our imagination to evolve our laboratory education towards a blended format incorporating various learning modes across time and space. Indeed, the extended understanding of the blended learning for laboratory courses could shed some light on the path that overcoming the old dichotomies such as hands-on versus minds-on, synchronous vs. asynchronous, physical versus virtual, and place-based versus remote, to proceed toward better laboratory education. In contrast, if we take a pessimistic view, we can expect that even our serious contemplation on remote labs may disappear someday, as many teaching methods did in the history of education. Therefore, it is recommended to recall fundamental questions on the essence of laboratory sessions that are rediscovered while we experience remote labs due to the COVID-19 (Q1-Q5). The easiest way to answer those questions would be by relying on the peculiarity of the learning objectives in each laboratory course - however, it does not open the way to more profound contemplations toward the post-COVID-19 laboratory education. Instead, more certain answers for the abovementioned questions (Q1-Q5) could be meaningfully derived from participants' voices throughout this study: (A1) The minimum firsthand experience should be secured to foster students experimentation skills and provide students chances to engage with unexpected phenomena relevant to tacit knowledge and the nature of science. Note that a blended learning format can be an alternative that provides students with both hands-on and minds-on experiences. (A2) Instructors and students must have synchronous interactions in a temporal aspect. However, whether the spatial co-presence is necessary is not so manifest. (A3) If possible, a semester-long open-ended laboratory class would be the best chance to invite students to in-depth inquiry thinking. However, the gap between the theoretical prediction and the real experimental data seems to be the plausible locus where an inquiry may arise for cookbook-style labs in a practical sense. Therefore, the pre-lab activity, the characteristics of data, and peer discussions should be designed carefully. (A4) If the culture surrounding the laboratory education site favors the hand or mind as a cognitive channel or shapes the interaction between instructors and students vertically or horizontally, the answer would be yes. (A5) The notion of formative assessment of the instructional system may help make the laboratory courses more adaptive and flexible in various instructional situations, as in the BLEND model developed in Study 3. The instructors and students at Hankuk University in 2020 were genuine agents who struggled to implement and take URL courses. And their lessons enabled the development of the BLEND model and the contemplation of the essence of laboratory sessions toward the post-COVID-19 laboratory education.Chapter 1. Introduction 1 1.1 Study Background 1 1.2 Purpose of Research 5 1.3 Research field 7 1.3.1 The Republic of Korea in the COVID-19 situation 8 1.3.2 Hankuk University in the Republic of Korea 9 1.4 Study Design 10 1.4.1 Study 1 11 1.4.2 Study 2 11 1.4.3 Study 3 12 Chapter 2. Theoretical Framework 13 2.1 Laboratory in Science Education 15 2.1.1 The purpose of laboratory 15 2.1.2 Hands-on versus minds-on debate 17 2.1.3 Interaction in laboratory 20 2.1.4 Laboratory report writing and feedback 21 2.2 E-learning and Effective Teaching Strategies 22 2.2.1 The promises and requirements of e-learning 22 2.2.2 Media presentation 24 2.2.3 Aspects of online interaction 25 2.2.4 Assessment and feedback 26 2.3 (Re-)emergence of Remote Laboratory 27 2.3.1 Studies on remote laboratories before the COVID-19 27 2.3.2 Studies on remote laboratories after the COVID-19 29 2.3.3 The meaning of remote laboratory revisited 31 2.3.4 Remote laboratory as blended learning 34 2.4 Instructor Agency and Sociocultural Perspective 38 2.4.1 Instructor agency in science education 38 2.4.2 Sociocultural perspective on Korean science instructors' agency 39 2.5 Design and Development Research 42 2.5.1 Utility of instructional design model 42 2.5.2 The need for a flexible model 43 2.5.3 Model development and validation research 44 2.5.4 Rapid prototyping approach 45 Chapter 3. Study 1: University Instructors' Agency During the Implementation of Remote Laboratory 46 3.1 Research Questions 47 3.2 Method 48 3.2.1 Participants 48 3.2.2 Qualitative interviews 49 3.2.3 Data analysis 50 3.3 Results 51 3.3.1 Macro-level context: South Korea 52 3.3.2 Meso-level context: Hankuk University and previous practices in laboratory courses 54 3.3.3 Micro-level context: Remote laboratories according to science discipline 56 3.3.4 The remote laboratories implemented at Hankuk University in the spring semester of 2020 60 3.3.5 Issues raised during the implementation of remote laboratories 64 3.3.6 University instructors' perceptions of the learning outcomes of remote laboratories 67 3.3.7

    Principles And Practices Fostering Inclusive Excellence: Lessons From The Howard Hughes Medical Institute’s Capstone Institutions

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    Best-practices pedagogy in science, technology, engineering, and mathematics (STEM) aims for inclusive excellence that fosters student persistence. This paper describes principles of inclusivity across 11 primarily undergraduate institutions designated as Capstone Awardees in Howard Hughes Medical Institute’s (HHMI) 2012 competition. The Capstones represent a range of institutional missions, student profiles, and geographical locations. Each successfully directed activities toward persistence of STEM students, especially those from traditionally underrepresented groups, through a set of common elements: mentoring programs to build community; research experiences to strengthen scientific skill/identity; attention to quantitative skills; and outreach/bridge programs to broaden the student pool. This paper grounds these program elements in learning theory, emphasizing their essential principles with examples of how they were implemented within institutional contexts. We also describe common assessment approaches that in many cases informed programming and created traction for stakeholder buy-in. The lessons learned from our shared experiences in pursuit of inclusive excellence, including the resources housed on our companion website, can inform others’ efforts to increase access to and persistence in STEM in higher education
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