3,066 research outputs found

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

    Get PDF
    ํ•™์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

    Perceptions of Educators on Motivational Strategies Influencing Middle School Students in Mathematics Courses

    Get PDF
    This qualitative study examined educators\u27 perceptions of motivational strategies influencing and motivating middle school students to comprehend and perform in mathematics courses. This study used interview data from 15 participants with 2 to 30 years of teaching experience. Educators may utilize this information in multiple settings within the classroom to influence and motivate students in mathematics courses. Data collection strategies included one-on-one semi-structured middle school educator interviews. Analysis of data occurred in three phases: (a) categorization of data under the five organizational factors, (b) building the explanation in narrative form, and (c) re-examination of the data. The analysis of the phenomenological study data was based on the theoretical framework of the achievement goal theories - the differences in how people judge their perceptions of competence (Nicholls, 1984) and TARGET structures (Task, Authority, Rewards, Grouping, Evaluation, and Time) (Epstein, 1989). The credibility of the analysis was protected by triangulation of data through multiple sources of evidence, establishment of a chain of evidence, and member checking. The results revealed that current and innovative motivational strategies influenced students in middle school mathematics. The results revealed how educators motivate middle school students through traditional and non-traditional strategies. Five themes emerged from the interview data analysis that contribute to the motivation of middle school students: (1) internal motivation, (2) external motivation, (3) building thinking classrooms, (4) student choice, and (5) building relationships

    Artificial intelligent based teaching and learning approaches: A comprehensive review

    Get PDF
    The goal of this study is to investigate the potential effects that Artificial intelligence (AI) could have on education. The narrative and framework for investigating AI that emerged from the preliminary research served as the basis for the studyโ€™s emphasis, which was narrowed down to the use of AI and its effects on administration, instruction, and student learning. According to the findings, artificial intelligence has seen widespread adoption and use in education, particularly by educational institutions and in various contexts and applications. The development of AI began with computers and technologies related to computers; it then progressed to web-based and online intelligent education systems; and finally, it applied embedded computer systems in conjunction with other technologies, humanoid robots, and web-based chatbots to execute instructor tasks and functions either independently or in partnership with instructors. By utilizing these platforms, educators have been able to accomplish a variety of administrative tasks. In addition, because the systems rely on machine learning and flexibility, the curriculum and content have been modified to match the needs of students. This has led to improved learning outcomes in the form of higher uptake and retention rates

    Proceedings of the International Workshop on EuroPLOT Persuasive Technology for Learning, Education and Teaching (IWEPLET 2013)

    Get PDF
    "This book contains the proceedings of the International Workshop on EuroPLOT Persuasive Technology for Learning, Education and Teaching (IWEPLET) 2013 which was held on 16.-17.September 2013 in Paphos (Cyprus) in conjunction with the EC-TEL conference. The workshop and hence the proceedings are divided in two parts: on Day 1 the EuroPLOT project and its results are introduced, with papers about the specific case studies and their evaluation. On Day 2, peer-reviewed papers are presented which address specific topics and issues going beyond the EuroPLOT scope. This workshop is one of the deliverables (D 2.6) of the EuroPLOT project, which has been funded from November 2010 โ€“ October 2013 by the Education, Audiovisual and Culture Executive Agency (EACEA) of the European Commission through the Lifelong Learning Programme (LLL) by grant #511633. The purpose of this project was to develop and evaluate Persuasive Learning Objects and Technologies (PLOTS), based on ideas of BJ Fogg. The purpose of this workshop is to summarize the findings obtained during this project and disseminate them to an interested audience. Furthermore, it shall foster discussions about the future of persuasive technology and design in the context of learning, education and teaching. The international community working in this area of research is relatively small. Nevertheless, we have received a number of high-quality submissions which went through a peer-review process before being selected for presentation and publication. We hope that the information found in this book is useful to the reader and that more interest in this novel approach of persuasive design for teaching/education/learning is stimulated. We are very grateful to the organisers of EC-TEL 2013 for allowing to host IWEPLET 2013 within their organisational facilities which helped us a lot in preparing this event. I am also very grateful to everyone in the EuroPLOT team for collaborating so effectively in these three years towards creating excellent outputs, and for being such a nice group with a very positive spirit also beyond work. And finally I would like to thank the EACEA for providing the financial resources for the EuroPLOT project and for being very helpful when needed. This funding made it possible to organise the IWEPLET workshop without charging a fee from the participants.

    Big data for monitoring educational systems

    Get PDF
    This report considers โ€œhow advances in big data are likely to transform the context and methodology of monitoring educational systems within a long-term perspective (10-30 years) and impact the evidence based policy development in the sectorโ€, big data are โ€œlarge amounts of different types of data produced with high velocity from a high number of various types of sources.โ€ Five independent experts were commissioned by Ecorys, responding to themes of: students' privacy, educational equity and efficiency, student tracking, assessment and skills. The experts were asked to consider the โ€œmacro perspective on governance on educational systems at all levels from primary, secondary education and tertiary โ€“ the latter covering all aspects of tertiary from further, to higher, and to VETโ€, prioritising primary and secondary levels of education

    Estratรฉgias & tecnologias digitais para a integraรงรฃo do Autismo

    Get PDF
    The number of people with Autism spectrum disorders is increasing significantly. The purpose of this literature review is to contribute to the integration of autistic people in the educational context with the help of technological means. Educators' views on the education they should provide to students so that autistic people feel accepted by their peers and have equal and inclusive opportunities are listed. People on the Autism spectrum have difficulties in important pillars such as communication, memory, and attention. Strategies are presented for teachers to achieve the inclusion of students and the role of assistive technology, and its benefits are identified for people with Autism with the main benefit being the improvement of communication skills, the improvement of organization activities, memory, and attention.El nรบmero de personas con trastornos del espectro autista estรก aumentando significativamente. El objetivo de esta revisiรณn bibliogrรกfica fue contribuir a la integraciรณn de las personas autistas en el contexto educativo con la ayuda de medios tecnolรณgicos. Se enumeran las opiniones de los educadores sobre la educaciรณn que deben ofrecer a los alumnos para que las personas autistas se sientan aceptadas por sus compaรฑeros y tengan oportunidades equitativas e inclusivas. Las personas en el espectro del autismo tienen dificultades con pilares importantes como la comunicaciรณn, la memoria y la atenciรณn. Se presentan estrategias para que los docentes logren la inclusiรณn de los estudiantes y el rol de la tecnologรญa asistiva, y se identifican sus beneficios para las personas con autismo, siendo el principal beneficio la mejora de las habilidades comunicativas, la mejora de las actividades de organizaciรณn, memoria y atenciรณn.O nรบmero de pessoas com transtornos do espectro do Autismo estรก aumentando significativamente. O objetivo desta revisรฃo de literatura foi contribuir para a integraรงรฃo de pessoas autistas no contexto educacional com o auxรญlio de meios tecnolรณgicos. Sรฃo listadas as opiniรตes dos educadores sobre a educaรงรฃo que devem oferecer aos alunos para que os autistas se sintam aceitos por seus pares e tenham oportunidades iguais e inclusivas. As pessoas no espectro do Autismo apresentam dificuldades em pilares importantes como comunicaรงรฃo, memรณria e atenรงรฃo. Sรฃo apresentadas estratรฉgias para os professores conseguirem a inclusรฃo dos alunos e o papel da tecnologia assistiva, e sรฃo identificados seus benefรญcios para pessoas com autismo sendo o principal benefรญcio, a melhora das habilidades de comunicaรงรฃo, a melhora das atividades de organizaรงรฃo, memรณria e atenรงรฃo

    Severe Special need Student Inclusion in the Classroom

    Get PDF
    This school improvement plan focuses on enhancing student inclusion within the general education environment. With inclusion being a pivotal topic in educational settings, this study aims to explore and elucidate its significance. The project encompasses a comprehensive investigation of the issue, examining aspects such as leadership support, differentiated instruction, and the practical implementation of inclusion in the general education setting. Emphasizing the vital role of inclusion in fostering student success, particularly within the inclusive environment, this research advocates for the integration of students with diverse abilities in the general education setting to sustain their social and academic growth. The findings underscore the profound impact of inclusion, revealing that students with varying abilities benefit greatly when afforded the opportunity to learn alongside their peers in an inclusive, accommodating environment, enabling the development of essential life skills
    • โ€ฆ
    corecore