Running an open MOOC on learning in laboratories

CONTEXT Teaching in laboratories plays an integral role in education. This includes both proximal as well as remote laboratories. In many instances, learning activities are designed around equipment and traditional laboratory activities. Pedagogical aspects and instructional design are often not considered or are an afterthought. PURPOSE The aim of this project was to help to address this gap by designing, implementing and facilitating an open online course on the pedagogy of using laboratory experiences in the curriculum. APPROACH The MOOC for Enhancing Laboratory Learning Outcomes (MELLO) has been designed to assist educators at all levels, from schools to universities, to improve the quality of laboratory experiences in STEM (Science, Technology, Engineering, and Mathematics) education. Experienced educators seeking to review and revise current practices or beginning educators were all welcome to participate. Based on learning theory and research literature, online course has been developed that covers constructive alignment of practical activities with the wider curriculum, learning objectives, pedagogical approaches to laboratory learning, laboratory modalities and session planning. RESULTS 120 participants from Australia and around the world took part in the course. While the participants did not work on their own laboratory activity throughout the courses (as envisaged when designing the course), participants who actively took part in the course were positive about the value of the course. CONCLUSIONS The MOOC has been capable of supporting a large number of participants including university educators around the world who use laboratory experiences and will continue to do so through future iterations of the course. Moving forward, there is scope to adapt the pedagogical approach of the course to cater for the way the participants have engaged with the material

Motivation in a language MOOC: issues for course designers

Whilst several existing studies on foreign language learning have explored motivation in more traditional settings (Dörnyei, 2003), this paper presents one of the first studies on the motivation of participants in a MOOC. The MOOC, Travailler en français (https://sites.google.com/site/mooctravaillerenfrancais/home), was a 5-week open online course for learners of French at level B1 of the CEFR, and aimed to develop language and employability skills for working in a francophone country. It took place in early 2014 and attracted more than 1000 participants. Intrinsic motivation (Wigfield & Eccles, 2000), is directly linked to one’s enjoyment of accomplishing a task. We conducted a study based on the cognitive variables of the Self-Determination Theory (Deci & Ryan, 1985), and adapted the Intrinsic Motivation Inventory to the context of a MOOC in order to understand the expectancy beliefs and task values of participants engaging with the MOOC. Participants answered a 40 Likert-type questions on enjoyment/ interest (i.e. I will enjoy doing this MOOC very much), perceived competence (i.e. I think I will be able to perform successfully in the MOOC), effort (i.e. I will put a lot of effort in this MOOC), value/usefulness (i.e. I think that doing this MOOC will be useful for developing my skills), felt pressure and tension (i.e. I think I might feel pressured while doing the MOOC) and relatedness (i.e. I think I will feel like I can really trust the other participants). Results highlight significant factors that could directly influence intrinsic motivation for learning in a MOOC environment. The chapter makes recommendations for LMOOC designers based on the emerging profile of MOOC participants, on their motivation and self-determination, as well as on the pressures they might feel, including time pressures. Finally, the extent to which participants relate to each other, and are able to engage in social learning and interaction, is a real challenge for LMOOC designers

Wearable Technology in Education to Enhance Technical MOOCs

The low completion rate issue in MOOCs has become one of the main highlights by researchers. It is reported that only 10 to 15 percent of the students were able to complete the MOOCs. This low completion rate is due to the students are less engaged with the MOOCs content causing them to become demotivated to complete the whole MOOCs. Engaging students in MOOCs environment, especially for non-technical subjects, suited very well. However, for technical MOOCs, it involves significant challenges because technical MOOCs must be able to offer the students with practice-oriented learning outcome in-order for the MOOCs to be effective and engaging. Due to the above issue, this paper discussed an improvised MOOCs model for teaching technical subjects with the intervention in the use of wearable technology. A discussion on the e-content and e-activity of the technical MOOC learning design was presented. This study implemented the proposed technical MOOC model through the MOOC development. The students’ perception of the technical MOOC was then evaluated, and all the results were explained in the discussion part. Results of the correlation test revealed that all of the technical MOOC variables correlated substantially and held a positive relationship with students’ perception variable with r=.3 to 1.0, p < .0005. In addition, this result also suggests that the learning materials produced by wearable technology do contribute towards the positive effect of students’ perception when learning technical MOOC

Massive Open Online Courses (MOOCS): Emerging Trends in Assessment and Accreditation

In 2014, Massive Open Online Courses (MOOCs) are expected to witness a phenomenal growth in student registration compared to the previous years (Lee, Stewart, & Claugar-Pop, 2014). As MOOCs continue to grow in number, there has been an increasing focus on assessment and evaluation. Because of the huge enrollments in a MOOC, it is impossible for the instructor to grade homework and evaluate each student. The enormous data generated by learners in a MOOC can be used for developing and refining automated assessment techniques. As a result, “Smart Systems” are being designed to track and predict learner behavior while completing MOOC assessments. These automated assessments for MOOCs can automatically score and provide feedback to students multiple choice questions, mathematical problems and essays. Automated assessments help teachers with grading and also support students in the learning processes. Theseassessments are prompt, consistent, and support objectivity in assessment and evaluation (Ala-Mutka, 2005). This paper reviews the emerging trends in MOOC assessments and their application in supporting student learning and achievement. The paper concludes by describing how assessment techniques in MOOCs can help to maximize learning outcomes.AbstractIn 2014, Massive Open Online Courses (MOOCs) are expected towitness a phenomenal growth in student registration compared to the previous years. As MOOCs continue to grow in number, therehas been an increasing focus on assessment and evaluation. Because of the huge enrollments in a MOOC, it is impossible for the instructor to grade homework and evaluate each student. The enormous data generated by learners in a MOOC can be used for developing and refining automated assessment techniques. As a result, "Smart Systems" are being designed to track and predict learner behavior while completing MOOC assessments. These automated assessments for MOOCs can automatically score and provide feedback to students multiple choice questions, mathematical problems and essays. Automated assessments help teachers with grading and also support students in the learning processes. These assessments are prompt, consistent, and support objectivity in assessment and evaluation (Ala-Mutka, 2005). This paper reviews the emerging trends in MOOC assessments and their application in supporting student learning and achievement. The paper concludes by describing how assessment techniques in MOOCs can help to maximize learning outcomes

Learning in Social Networks: Rationale and Ideas for Its Implementation in Higher Education

The internet has fast become a prevalent medium for collaboration between people and social networks, in particular, have gained vast popularity and relevance over the past few years. Within this framework, our paper will analyse the role played by social networks in current teaching practices. Specifically, we focus on the principles guiding the design of study activities which use social networks and we relate concrete experiences that show how they contribute to improving teaching and learning within a university environment

An online story of electronics 1 (ELE232) utilizing MOOC / Norizan Ahmed ...[et al.]

An online platform for Electronics 1 (ELE232) course in UiTM Terengganu which contains fundamental knowledge of circuit theory is proposed. This platform is to introduce an online learning approach, to develop online assessments and to improve student’s skills plus their comprehensive ability onto topics related; a) theoretically; semiconductor material, b) practically; diode applications (i.e: calculation), and c) both theoretically and practically; BJTs and FETs.These are the main objectives in applying Massive Open Online Courses (MOOC) into the learning course. With android and IOS system, MOOC’s technology helps teachers and learners in being responsive anytime and anywhere by sharing lessons’ videos, perform circuit activities and more along with some cool awesome features. The interactive and intriguing materials integrated in MOOC for ELE232 resulting in better understanding of the principle of electronics among students

Framework to Enhance Teaching and Learning in System Analysis and Unified Modelling Language

Cowling, MA ORCiD: 0000-0003-1444-1563; Munoz Carpio, JC ORCiD: 0000-0003-0251-5510Systems Analysis modelling is considered foundational for Information and Communication Technology (ICT) students, with introductory and advanced units included in nearly all ICT and computer science degrees. Yet despite this, novice systems analysts (learners) find modelling and systems thinking quite difficult to learn and master. This makes the process of teaching the fundamentals frustrating and time intensive. This paper will discuss the foundational problems that learners face when learning Systems Analysis modelling. Through a systematic literature review, a framework will be proposed based on the key problems that novice learners experience. In this proposed framework, a sequence of activities has been developed to facilitate understanding of the requirements, solutions and incremental modelling. An example is provided illustrating how the framework could be used to incorporate visualization and gaming elements into a Systems Analysis classroom; therefore, improving motivation and learning. Through this work, a greater understanding of the approach to teaching modelling within the computer science classroom will be provided, as well as a framework to guide future teaching activities