5,089 research outputs found

    ASPs: snakes or ladders for mathematics?

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    Passing the California High School Exit Exam: Have Recent Policies Improved Student Performance?

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    This report evaluates the effectiveness of three support services in helping struggling students pass the California High School Exit Examination (CAHSEE). The report highlights the need to help students before they first take the exam in grade 10 and introduces the CAHSEE Early Warning Model, a forecasting tool to identify at-risk students in earlier grades

    Open, Online, Calculus Help Forums: Learning About and From a Public Conversation

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    This study is an exploration of participation, community, and mathematical understanding in an open, online, calculus help forum. These forums, populated by members from around the world, are locations where students post queries from their coursework and receive assistance from volunteer tutors. The site under investigation has a spontaneous participation structure, meaning that any forum member can respond to a query and contribute to an ongoing discussion. From earlier work, we know that such forums foster mathematical dialogue, contain exchanges with sophisticated pedagogical moves, and exhibit a strong sense of community. In this study, we delve deeper into the functional aspects of activity (such as student positioning and pedagogical moves), the benefits that accrue from participation in tutoring as a communal activity, and the mathematical understanding that is evident in the way problems on limit and related rates are framed and solutions constructed. Based on an observational methodology, we find that the forum provides tutoring for students and support for tutors that is unique from our expectations of other learning environments, such as one-on-one tutoring and computer-based tutoring systems. Students position themselves with authority in the exchanges by making assertions and proposals of action, questioning or challenging others' proposals, and indicating when resolution has been achieved. Tutors, who generally have more experience and expertise than students, provide mathematical guidance, and, in exemplary exchanges, draw the student into making a mathematical discovery. The dedication of tutors to the forum community was evident in the presence of authentic, honest mathematical practices, in the generous provision of alternative perspectives on problems, and in the sincere correction of errors. Some student participants picked up on these aspects of community and expressed excitement and appreciation for this taste of mathematical discourse. The primary contribution of the tutors was their assistance in supporting students as they constructed productive framings for the exercises, and this was the help that students were most in need of. As a result of eavesdropping on this public conversation, we conclude that the forums are a public conversation that should be listened to by educational researchers, teachers, and designers of tutoring systems

    Complete Issue 12, 1995

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    Examining the Effectiveness of Explicit, Systematic Mathematics Vocabulary Instruction for Students with Learning Difficulties and Disabilities in a Specialized Setting

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    Many students in the United States are not proficient in mathematics. Mathematics vocabulary is one area that may impact studentsโ€™ understanding of and engagement with mathematics. This dissertation investigated the implementation, effectiveness, and teacherโ€™s perceptions of a program for teaching mathematics vocabulary necessary for fourth grade and beyond. This study randomly assigned 30 students (11-14 years old) to receive mathematics vocabulary instruction or not. Three teachers at a school for students with learning difficulties and disabilities administered mathematics vocabulary and mathematics achievement tests to all of their students before teaching the program to 17 of the students. A research assistant and I observed the teachers, and all of the teachers shared their perceptions of the lessons via a survey. Results show that the teachers taught the lessons as intended and that the students who received the lessons did better on the post-test than students who did not receive the lessons. Results from the survey suggest the teachers found the intervention acceptable, easy to use, and plan to use it or something similar to teach mathematics vocabulary in the future

    Writing their way to the university: An investigation of Chinese high school students\u27 preparation for writing in English in high schools, cram schools, and online

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    In this dissertation, drawing from activity theory, I investigate how Chinese students prepared themselves for undergraduate studies in U.S. universities in terms of English writing from three perspectives: English writing instruction in high schools, private supplementary tutoring (PST) in English writing in cram schools, and experience with writing online and using online resources. On the basis of data from a questionnaire, interviews, classroom observations, and examinations of written materials and a forum, I provide a picture of the writing instruction experience and writing background that Chinese students bring to writing classrooms in U.S. universities. It was found that other than writing instruction in high schools that was assumed to be the main source of support for students, PST in English writing students received in cram schools was dominant in the process of preparing themselves for English writing. Online resources were also important for students although students used them mainly for test preparation rather than for improving their English writing ability. What Chinese students have achieved and are not prepared to do in English writing are also discussed in terms of aspects of writing, perceptions of a good piece of writing, amount of writing, genres of writing, feedback, and writing pedagogy. I hope this dissertation will shed light on second language writing teaching in the U.S. as well as in China and second language writing researc

    ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ ์‚ฌ์šฉ์— ๋Œ€ํ•œ ์ค‘๊ตญ ๊ต์‚ฌ์˜ ์ธ์‹

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์‚ฌ๋ฒ”๋Œ€ํ•™ ๊ต์œกํ•™๊ณผ, 2021. 2. ์กฐ์˜ํ™˜.์ตœ๊ทผ ๊ต์œก ๋ถ„์•ผ์—์„œ ์ธ๊ณต์ง€๋Šฅ(AI)์˜ ๋„์ž…์ด ํฐ ๊ด€์‹ฌ์„ ๋Œ๊ณ  ์žˆ๋‹ค. ํŠนํžˆ AI ๊ธฐ์ˆ ๊ณผ ํ•™์Šต ๋ถ„์„์ด ๊ฒฐํ•ฉํ•œ ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์€ ์ง€๊ธˆ๊ป ์‹คํ˜„๋˜๊ธฐ ์–ด๋ ค์› ๋˜ ๋งž์ถคํ˜• ํ•™์Šต(personalized learning)๊ณผ ์ ์‘์  ํ•™์Šต(adaptive learning)์— ๋„์›€์ด ๋  ์ˆ˜ ์žˆ๋„๋ก ๋ฐœ์ „ํ•˜๊ณ  ์žˆ๋‹ค. ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ(AI-based education platform)์€ ํ•™์Šต์ž์˜ ํ–‰๋™ ์ถ”์  ๋“ฑ์„ ํ†ตํ•ด ์ด๋“ค์˜ ํŠน์„ฑ์„ ๋ถ„์„ํ•˜๊ณ  ์ง„๋‹จ์„ ์ œ๊ณตํ•œ ๋’ค ๋ถ„์„ ๊ฒฐ๊ณผ๋ฅผ ํ† ๋Œ€๋กœ ํ•™์Šต์ž์—๊ฒŒ ์ธ์ง€ ์ˆ˜์ค€์— ๋งž๋Š” ๋งž์ถคํ˜• ํ•™์Šต์ž์›๊ณผ ํ”ผ๋“œ๋ฐฑ์„ ์ œ๊ณตํ•œ๋‹ค. ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์€ ๊ต์‚ฌ์™€ ํ•™์ƒ์—๊ฒŒ ์‹ค์‹œ๊ฐ„ ํ•™์Šต ๋ฐ์ดํ„ฐ์™€ ๋ถ„์„ ๊ฒฐ๊ณผ, ๊ทธ๋ฆฌ๊ณ  ํ”ผ๋“œ๋ฐฑ์„ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์–ด ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์ด ๋งž์ถคํ˜• ํ•™์Šต์— ๊ธ์ •์ ์ธ ์˜๋ฏธ๊ฐ€ ์žˆ๋‹ค๋Š” ์„ ํ–‰ ์—ฐ๊ตฌ๋„ ์žˆ์—ˆ๋‹ค. ๊ทธ๋Ÿผ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ๊ธฐ์กด ์—ฐ๊ตฌ๋Š” ๋ชจ๋ธ ๊ฐœ๋ฐœ์˜ ์ฐจ์›์—์„œ๋‚˜ ์—„๋ฐ€ํ•œ ์‹คํ—˜์‹ค ํ™˜๊ฒฝ์—์„œ ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์˜ ํšจ๊ณผ๋ฅผ ์—ฐ๊ตฌํ•ด์™”์œผ๋ฉฐ, ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์— ๋Œ€ํ•œ ๊ต์‚ฌ์˜ ์ธ์‹๊ณผ ๊ด€๋ จ๋œ ์—ฐ๊ตฌ๋Š” ๋“œ๋ฌผ์—ˆ๋‹ค. ๊ต์‚ฌ๋Š” ์ธ๊ณต์ง€๋Šฅ ๊ต์œก ๊ธฐ์ˆ ์˜ ์‚ฌ์šฉ์ž์ด๊ธฐ ๋•Œ๋ฌธ์— ์ธ๊ณต์ง€๋Šฅ ๊ต์œก ๊ธฐ์ˆ ์˜ ๊ต์œก ๋„์ž…์— ์žˆ์–ด ๊ต์‚ฌ๋“ค์˜ ์ธ์‹๊ณผ ์˜๊ฒฌ์€ ์ค‘์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์„ ํ™œ์šฉํ•˜๋Š” ๊ฒƒ์— ๋Œ€ํ•œ ๊ต์‚ฌ๋“ค์˜ ์ธ์‹์„ ํƒ๊ตฌํ•˜์˜€๋‹ค. ์•„๋ž˜ ์—ฐ๊ตฌ ๋ฌธ์ œ๋ฅผ ๋‹ค๋ฃจ๊ธฐ ์œ„ํ•ด ์งˆ์  ์—ฐ๊ตฌ๋ฅผ ์‹œํ–‰ํ•˜์˜€๋‹ค. ์ฒซ์งธ, ์ค‘๊ตญ ๊ต์‚ฌ๋“ค์€ ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์ด ์ค‘ํ•™๊ต ๊ต์œก์— ํ™œ์šฉ ์žˆ์–ด ์–ด๋– ํ•œ ์žฅ์ ์ด ์žˆ๋‹ค๊ณ  ์ธ์‹ํ•˜๋Š”๊ฐ€? ๋‘˜์งธ, ์ค‘๊ตญ ๊ต์‚ฌ๋“ค์€ ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ๊ณผ ์ค‘ํ•™๊ต ๊ต์ˆ˜ ํ™œ๋™ ์š”์†Œ ๊ฐ„ ์–ด๋– ํ•œ ๋ชจ์ˆœ์ด ์žˆ๋‹ค๊ณ  ์ธ์‹ํ•˜๋Š”๊ฐ€? ์…‹์งธ, ์ค‘๊ตญ ๊ต์‚ฌ๋“ค์€ ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์„ ์ค‘ํ•™๊ต ๊ต์œก์— ๋„์ž…ํ•  ๋•Œ ๋ฌด์—‡์ด ํ•„์š”ํ•˜๋‹ค๊ณ  ์ธ์‹ํ•˜๋Š”๊ฐ€? ๋ณธ ์—ฐ๊ตฌ๋Š” ์ค‘๊ตญ ๊ต์‚ฌ๋“ค์„ ์—ฐ๊ตฌ๋Œ€์ƒ์œผ๋กœ ์˜จ๋ผ์ธ ์‹ฌ์ธต ๋ฉด๋‹ด์„ ํ•˜์˜€๋‹ค. ๋ฌธํ—Œ ๋ฆฌ๋ทฐ๋ฅผ ํ†ตํ•ด ๋ฉด๋‹ด ์งˆ๋ฌธ์ง€๋ฅผ ์„ค๊ณ„ํ•˜๋˜ ๋ˆˆ๋ฉ์ดํ‘œ์ง‘๋ฒ• (snowball sampling)์„ ํ†ตํ•ด ์ค‘๊ตญ ์ค‘ํ•™๊ต ๊ต์‚ฌ 14๋ช…์„ ์—ฐ๊ตฌ์ฐธ์—ฌ์ž๋กœ ์„ ์ •ํ•˜์˜€๋‹ค. ์„ ์ •๋œ ๊ต์‚ฌ๋“ค์€ ๋ชจ๋‘ ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ ์‚ฌ์šฉ ๊ฒฝํ—˜์ด ์žˆ์œผ๋ฉฐ ๊ฐ ๊ต์‚ฌ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์•ฝ 1์‹œ๊ฐ„ ์ •๋„ ๋ฉด๋‹ด์„ ์ง„ํ–‰ํ•˜๊ณ  ๋…น์Œํ•˜์˜€๋‹ค. ๋ฉด๋‹ด์ด ๋๋‚œ ํ›„ ๋…น์Œ ๋‚ด์šฉ์„ ์ „์‚ฌํ•˜์˜€์œผ๋ฉฐ, ์ฃผ์ œ๋ถ„์„์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ฉด๋‹ด ๋‚ด์šฉ์„ ์ดˆ๊ธฐ ์ฝ”๋“œ ์ƒ์„ฑํ•˜๊ณ  ๋ฉด๋‹ด ์ž๋ฃŒ ์†์—์„œ ์ฃผ์ œ๋ฅผ ๋„์ถœํ•˜์˜€๋‹ค. ํŠนํžˆ ์—ฐ๊ตฌ ๋ฌธ์ œ 2๋ฒˆ์˜ ๊ฒฝ์šฐ, ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ ํ™œ์šฉ๊ณผ ๊ต์ˆ˜ ํ•™์Šตํ™œ๋™ ๋‚ด ์—ฌ๋Ÿฌ ์š”์†Œ ๊ฐ„์˜ ๋ชจ์ˆœ์„ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด ํ™œ๋™์ด๋ก ์„ ์—ฐ๊ตฌ์˜ ํ‹€๋กœ ์ด์šฉํ•˜์˜€๋‹ค. ์ตœ์ข…์ ์œผ๋กœ ์—ฐ๊ตฌ๋ฌธ์ œ 1์— ๋Œ€ํ•œ ์ฃผ์ œ 4๊ฐœ, ์—ฐ๊ตฌ๋ฌธ์ œ 2์— ๋Œ€ํ•œ ์ฃผ์ œ 6๊ฐœ, ์—ฐ๊ตฌ๋ฌธ์ œ 3์— ๋Œ€ํ•œ ์ฃผ์ œ 4๊ฐœ๋ฅผ ๋„์ถœํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋กœ ๊ต์‚ฌ๋“ค์€ ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์˜ ์žฅ์ ์— ๋Œ€ํ•ด ์ฆ‰๊ฐ์ ์ธ ํ”ผ๋“œ๋ฐฑ ์ œ๊ณต, ๊ต์ˆ˜ํ•™์Šต ์ง€์›, ๊ต์‚ฌ์˜ ์—…๋ฌด๋Ÿ‰ ๊ฐ์†Œ ๋“ฑ์œผ๋กœ ์ธ์‹ํ•˜์˜€๊ณ , ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์ด ๋‹ค์–‘ํ•œ ๊ต์ˆ˜ํ•™์Šต ์ž์›์„ ํ†ตํ•ฉํ•  ์ˆ˜ ์žˆ๋‹ค๊ณ  ์ธ์‹ํ•˜์˜€๋‹ค. ์•„์šธ๋Ÿฌ ๊ต์‚ฌ๋“ค์€ ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์˜ ์‚ฌ์šฉ์— ์žˆ์–ด ๊ธฐ์กด์˜ ๊ต์ˆ˜ํ•™์Šต ํ™œ๋™๊ณผ ์ƒ์ถฉ๋œ ๋ถ€๋ถ„์ด ์žˆ๋‹ค๋Š” ์ ์„ ์ธ์‹ํ•˜์˜€๋‹ค. ๊ต์‚ฌ๋“ค์€ ๊ธฐ์กด ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์˜ ์ถ”์ฒœ ๋ชจ๋ธ์ด ์ฐจ๋ณ„ํ™”๋œ ํ•™์ƒ๋“ค์—๊ฒŒ ์ž˜ ์ ์šฉ๋˜์ง€ ๋ชปํ•œ๋‹ค๋Š” ๊ฒƒ์„ ์ธ์‹ํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๊ธฐ์กด ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์ด ๋‹ค์–‘ํ•œ ํ•™์Šต ์ž์›์„ ์ž˜ ๋ถ„๋ฅ˜๋˜์ง€ ๋ชปํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๊ต์‚ฌ๋“ค์ด ์‚ฌ์šฉํ•˜๊ธฐ ๋ถˆํŽธํ•˜๋‹ค. ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์„ ์ด์šฉํ•  ๋•Œ ๊ต์‚ฌ์˜ ์ง€์ ์žฌ์‚ฐ๊ถŒ์„ ๋ณดํ˜ธํ•˜๊ธฐ ์œ„ํ•œ ๋ช…ํ™•ํ•œ ๊ทœ์ œ๊ฐ€ ๋ถ€์กฑํ•˜๋‹ค๊ณ  ์ธ์‹ํ•˜์˜€๋‹ค. ์ด์™€ ํ•จ๊ป˜ ํ•™๋ถ€๋ชจ๋“ค์€ ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์„ ์‚ฌ์šฉํ•จ์œผ๋กœ์จ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ํ•™์Šต์ž์˜ ์ธํ„ฐ๋„ท ๋‚จ์šฉ๊ณผ ์‹œ๋ ฅ ์ €ํ•˜ ๋ฌธ์ œ๋ฅผ ์šฐ๋ คํ•˜์˜€๋‹ค. ๋˜ ์ค‘๊ตญ์˜ ์‚ฌํšŒ๋ฌธํ™”์  ๋ฐฐ๊ฒฝ๊ณผ ๊ต์œก ํŠน์„ฑ์œผ๋กœ ์ธํ•ด ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์„ ํ™œ์šฉํ•˜๋Š” ๋ฐ ํ•™์ƒ๋“ค์˜ ๊ธ€์”จ ์“ฐ๊ธฐ ๋Šฅ๋ ฅ์— ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ํ•™๊ต ๋‚ด ์ „์ž๊ธฐ๊ธฐ ์‚ฌ์šฉ ์ œํ•œ๋„ ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘์˜ ์ง€์†์„ฑ๊ณผ ํšจ์œจ์„ฑ์— ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ๋‹ค๊ณ  ์ธ์‹ํ•˜์˜€๋‹ค. ๊ต์‚ฌ๋“ค์€ ์œ„์˜ ๋ฌธ์ œ๋“ค์ด ์ธ๊ณต์ง€๋Šฅ ๊ต์œก ํ”Œ๋žซํผ ์‚ฌ์šฉ์— ๋Œ€ํ•œ ๊ทœ์น™ ๋งˆ๋ จ๊ณผ ์ธ๊ณต์ง€๋Šฅ ๊ธฐ์ˆ ์„ ๊ฐœ์„ ํ•จ์œผ๋กœ์จ ์™„ํ™”๋  ์ˆ˜ ์žˆ๋‹ค๊ณ  ์ธ์‹ํ•˜์˜€๋‹ค. ๋˜ํ•œ ๊ต์‚ฌ์˜ ์‹ค์ œ ์š”๊ตฌ์— ๋งž๊ฒŒ ๊ฐœ๋ฐœ๋  ์ˆ˜ ์žˆ๋„๋ก ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ ๊ฐœ๋ฐœ ๊ณผ์ •์— ๊ต์œก ์ „๋ฌธ๊ฐ€์™€ ๊ต์‚ฌ๊ฐ€ ์ฐธ์—ฌํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ค‘๊ตญ ๊ต์‚ฌ๋“ค์ด ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์— ๋Œ€ํ•œ ์ธ์‹์„ ํƒ์ƒ‰ํ•˜์˜€์œผ๋ฉฐ, ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์ด ๊ต์ˆ˜ํ•™์Šต์—์„œ์˜ ์žฅ์ ๊ณผ ๋ฌธ์ œ์ ์„ ๋ฐํ˜”๋‹ค. ์•„์šธ๋Ÿฌ ๋ณธ ์—ฐ๊ตฌ๋Š” ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ์ด ๊ต์œก ๋ถ„์•ผ์— ๋Œ€๊ทœ๋ชจ๋กœ ๋„์ž…๋  ์ˆ˜ ์žˆ๋„๋ก ๊ทœ์น™, ์ธ๊ณต์ง€๋Šฅ ๊ธฐ์ˆ , ๊ทธ๋ฆฌ๊ณ  ๊ต์œก ๊ณตํ•™์˜ ์ฐจ์›์—์„œ ์‚ฌ์šฉ ๊ทœ๋ฒ”๊ณผ ๊ธฐ์ˆ  ๊ฐœ์„ ์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ํƒ์ƒ‰ํ•œ ๋‚ด์šฉ์ด ํ–ฅํ›„ ๊ต์œก ๋ถ„์•ผ์˜ ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜ ๊ต์œก ํ”Œ๋žซํผ ๋„์ž…์— ํ™œ์šฉ๋œ๋‹ค๋ฉด ์ธ๊ณต์ง€๋Šฅ ๊ต์œก ๊ธฐ์ˆ ์— ๊ด€ํ•œ ์—ฐ๊ตฌ์˜ ๋ฐœ์ „์—๋„ ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค.In recent years, the introduction of artificial intelligence (AI) in education has attracted widespread attention. In particular, the AI-based education platform based on the combination of AI technology and learning analysis brings new light to the long-standing difficulties in personalized learning and adaptive learning. The AI-based education platform analyzes learners' characteristics by collecting their data and tracking their learning behavior. It then generates cognitive diagnosis for learners and provides them with personalized learning resources and adaptive feedback that match their cognitive level based on systematic analysis. With the help of the AI-based education platform, teachers and students can get real-time educational data and analysis result๏ผŒas well as the feedback and treatment corresponding to the results. Previous studies have already demonstrated and proved its positive significance to personalized learning. However, these studies mostly start from a model development perspective or in a rigorous laboratory environment. There has been little research on teachers' perceptions of AI-based education platform. As a direct user of AI educational technologies, teachers' perceptions and suggestions are vital for introducing AIEd in education. In this study, the researcher explored teachers' perceptions of using AI-based education platform in teaching. The study conducted qualitative research to address the following research questions: 1) How do Chinese teachers perceive the advantages of AI-based education platforms for teaching and learning in secondary school? 2) How do Chinese teachers perceive the contradictions between AI-based education platforms and the secondary school system? 3๏ผ‰How do Chinese teachers suggest applying AI-based education platforms in secondary school? And it referred to the in-depth online interview with Chinese teachers who had experience with AI-based education platform. Interview questions were constructed through the literature review, and 14 secondary school teachers were selected by the snowball sampling method. The interviews lasted for an average of one hour per teacher and were transcribed from the audio recordings to text documents when finished. Afterward, the data were analyzed using thematic analysis, including generating initial codes, searching and reviewing the categories, and deriving the themes finally. Notably, for research question two, the researcher used the activity theory framework to analyze the contradictions among the use of the AI-based education platform and the various elements of the teaching and learning activities. Finally, four themes for research question 1, six themes for research question 2, and four themes for research question 3 were derived. As for the advantages, teachers believe that AI-based education platforms can provide instant feedback, targeted and systematic teaching support, and reduce teachers' workload. At the same time, AI-based education platforms can also integrate teaching resources in different areas. Teachers also recognized that the AI-based education platforms might trigger contradictions in existing teaching activities. They are aware of the situation that the recommended model of the AI-based education platform is not suitable for all levels of students; that a large number of learning resources are not classified properly enough to meet the needs of teachers, and that there lack clear rules and regulations to protect teachers' intellectual property rights when using the platform. Besides, parents are also concerned about the potential risk of internet addiction and vision problems using AI-based education platforms. Moreover, the use of the AI-based education platform may also affect students' ability to write Chinese characters due to the socio-historical background and educational characteristics in China. Furthermore, the restricted use of electronic devices on campus may also impact the consistent and effective education data collection. Teachers believe that these problems can be solved by improving rules and AI technology. Moreover, to make the platform more in line with the actual teaching requirements, teachers and education experts can also be involved in the development process of AI-based education platform. This study explored how Chinese teachers perceive the AI-based education platform and found that the AI-based education platform was conducive to personalized teaching and learning. At the same time, this study put forward some suggestions from the perspective of rules, AI technology, and educational technology, hoping to provide a good value for the future large-scale introduction of AI-based education platforms in education.CHAPTER 1. INTRODUCTION 1 1.1. Problem Statement 1 1.2. Purpose of Research 7 1.3. Definition of Terms 8 CHAPTER 2. LITERATURE REVIEW 10 2.1. AI in Education 10 2.1.1 AI for Learning and Teaching 10 2.1.2 AI-based Education Platform 14 2.1.3 Teachers' Perception on AI-based Education Platform 18 2.2. Activity Theory 20 CHAPTER 3. RESEARCH METHOD 23 3.1. Research Design 23 3.2. Participants 25 3.3. Instrumentation 26 3.3.1 Potential Value of AI System in Education 26 3.4. Data Collection 33 3.5. Data Analysis 34 CHAPTER 4. FINDINGS 36 4.1. Advantages of Using AI-based Education Platform 36 4.1.1 Instant Feedback 37 4.1.2 Targeted and Systematic Teaching Support 42 4.1.3 Educational Resources Sharing 46 4.1.4 Reducing Workload 49 4.2. Tensions of Using AI-based Education Platform 51 4.2.1 Inadequately Meet the Needs of Teachers 52 4.2.2 Failure to Satisfy Low and High Achievers 54 4.2.3 Intellectual Property Violation 56 4.2.4 Guardian's Concern 57 4.2.5 School Rules about the Use of Electronic Devices 58 4.2.6 Implication for Chinese Character Education 59 4.3. Suggestion of Using AI-based Education Platform 61 4.3.1 Improving Rules of Using the AI-based Education Platform 61 4.3.2 Improving Rules of Protecting Teachers Right 62 4.3.3 Improving AI Technology 64 4.3.4 Participatory Design 66 CHAPTER 5. DISCUSSION AND CONCLUSION 68 5.1. Discussion 68 5.2. Conclusion 72 REFERENCE 75 APPENDIX 1 98 APPENDIX 2 100 ๊ตญ๋ฌธ์ดˆ๋ก 112Maste

    Russian perspectives of online learning technologies in higher education: An empirical study of a MOOC

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    There has been a rapid growth of massive open online courses (MOOCs) in the global education market in the last decade. Online learning technologies are becoming increasingly widespread in the non-formal education sector and in higher and supplementary vocational education. The use of MOOCs in Russia to support the delivery of educational programmes at university level opens opportunities in terms of expanding the educational choice for students, the development of virtual academic mobility, reduction in the cost of educational services, and improvement in the accessibility of education. However, the effectiveness of using different online learning technologies at university level, and the consequences of their widespread adoption, has not been sufficiently explored. In this research study, a comparative analysis is made of the effects of different online learning models on student educational outcomes in a university setting. A study was undertaken in which different groups of students at the Ural Federal University, Russia, were encouraged to study technical and humanities disciplines using a framework of blended learning, and online learning with tutoring support. The results of the study were compared with the results of a reference (control) group of students who studied the same disciplines in a traditionally taught model. It was found that both models (blended and online) of MOOC implementation demonstrated greater learning gains, in comparison with the traditional model. For engineering and technical disciplines, there was no statistically significant difference between blended or online learning technologies. For the humanities discipline, where the communicative component of the learning process was significant, the blended learning technology produced better results. Conclusions of this empirical research may be useful for heads of educational organizations and teachers in helping them to make strategic decisions about the modernization of university courses by increasing the effectiveness of the implementation of new educational technologies. The results of this research project will be used for implementing the State Priority Project, โ€˜The Modern Digital Educational Environment of the Russian Federationโ€™
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