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Smith, Lesley Erin – ProQuest LLC, 2023
The strand of feedback research within the field of Instructed Second Language Acquisition (ISLA) examines the effects of feedback on the development of second language (L2) knowledge and learning behaviors. While findings often make claims about the relationship between feedback and language processing, much of this research has not measured…
Descriptors: Feedback (Response), Second Language Learning, Language Processing, French
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Wang, Dongqing; Han, Hou – Journal of Computer Assisted Learning, 2021
With the development of a technology-supported environment, it is plausible to provide rich process-oriented feedback in a timely manner. In this paper, we developed a learning analytics dashboard (LAD) based on process-oriented feedback in iTutor to offer learners their final scores, sub-scale reports, and corresponding suggestions on further…
Descriptors: Learning Analytics, Educational Technology, Feedback (Response), Intelligent Tutoring Systems
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Suryadi, Ahmad; Kusairi, Sentot – Journal of Technology and Science Education, 2021
Every student needs feedback to understand a scientific concept deeply. However, with a large number of students in each class, individual feedback is a challenge for teachers in Indonesia. Although there have been many studies conducted to maximize the giving of personal feedback, studies conducted by ensuring the consistency of a student's…
Descriptors: Computer Assisted Instruction, Multimedia Instruction, Feedback (Response), Formative Evaluation
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Richter, Juliane; Lachner, Andreas; Jacob, Leonie; Bilgenroth, Friederike; Scheiter, Katharina – Journal of Computer Assisted Learning, 2022
Background: Engaging students in computer-assisted guided inquiry learning has great potential to scaffold their scientific understanding: Students are expected to improve their scientific problem-solving skills, and at the same time gain a deep conceptual understanding of the subject-matter. Additional generative activities such as creating video…
Descriptors: Self Concept, Problem Solving, Video Technology, Computer Assisted Instruction
Chan, Jenny Yun-Chen; Lee, Ji-Eun; Mason, Craig A.; Sawrey, Katharine; Ottmar, Erin – Grantee Submission, 2021
Understanding equivalence is fundamental to STEM disciplines, yet misunderstandings and misconceptions inhibit students from fully appreciating or leveraging the concept. Using the game-based algebraic notation system, From Here to There! (FH2T), students explore ideas of equivalence by dynamically transforming expressions or equations among…
Descriptors: Middle School Students, Mathematics Instruction, Prior Learning, Teaching Methods
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Lou, Anna J.; Jaeggi, Susanne M. – Journal of Research in Science Teaching, 2020
There have been many practical obstacles for teachers to implement evidence-based educational technology, especially in STEM classrooms. By implementing learning principles related to Cognitive Load Theory, we developed an innovative Technology-Assisted Guided Learning (TAGL) approach and its web-based instructional tool, combining expertise from…
Descriptors: Prior Learning, Achievement Gap, Computer Assisted Instruction, Chemistry
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Ng, Oi-Lam; Shi, Lian; Ting, Fridolin – International Journal of STEM Education, 2020
Background: This paper compares the effects of two classroom-based technology-enhanced teaching interventions, conducted in two schools in sixth (age 11-12) grade. In one school, the intervention involves the use of a class set of 3D Printing Pens, and in another school the use of dynamic geometry environments, for inquiry-based learning of the…
Descriptors: Geometry, Mathematics Instruction, Pretests Posttests, Teaching Methods
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Daumiller, Martin; Dresel, Markus – Journal of Experimental Education, 2019
Studying with digital media, learners often struggle because of inadequate self-regulation. Previous research presented clear evidence of metacognitive prompts being effective in supporting learning with digital media. This study examines the potential of motivational regulation prompts, which are assumed to additionally support self-regulated…
Descriptors: Metacognition, Cues, Student Motivation, Pretests Posttests
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Mudrák, Marián – ICTE Journal, 2018
The paper deals with the issue of e-courses personalization in selected LMS. Even though this topic has been the subject of research for a longer time, more effective concepts of learning through e-courses are still being sought. Part of the contribution is a brief explanation of the terms personalization and adaptivity, which are often mistaken…
Descriptors: Individualized Instruction, Online Courses, Electronic Learning, Curriculum Implementation
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Martoccio, Alyssa – Language Teaching Research, 2018
This study examined the effectiveness of explicit instruction and feedback, focusing on degrees of prior knowledge of the personal "a" in intermediate level second language (L2) Spanish. On the pretest, participants (n = 58) completed grammaticality judgment and picture description tasks, which found that learners had different degrees…
Descriptors: Second Language Learning, Second Language Instruction, Spanish, Teaching Methods
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Johnson, A. M.; Ozogul, G.; Reisslein, M. – Journal of Computer Assisted Learning, 2015
An experiment examined the effects of visual signalling to relevant information in multiple external representations and the visual presence of an animated pedagogical agent (APA). Students learned electric circuit analysis using a computer-based learning environment that included Cartesian graphs, equations and electric circuit diagrams. The…
Descriptors: Animation, Multimedia Instruction, Computer Assisted Instruction, Prior Learning
Fyfe, Emily R. – Grantee Submission, 2016
Homework is transforming at a rapid rate with continuous advances in educational technology. Computer-based homework, in particular, is gaining popularity across a range of schools, with little empirical evidence on how to optimize student learning. The current aim was to test the effects of different types of feedback on computer-based homework.…
Descriptors: Algebra, Homework, Feedback (Response), Middle School Students
Beckmann, Jennifer; Bertel, Sven; Zander, Steffi – International Association for Development of the Information Society, 2015
Adaptive e-Learning systems are able to adjust to a user's learning needs, usually by user modeling or tracking progress. Such learner-adaptive behavior has rapidly become a hot topic for e-Learning, furthered in part by the recent rapid increase in the use of MOOCs (Massive Open Online Courses). A lack of general, individual, and situational data…
Descriptors: Electronic Learning, Cognitive Style, Visual Learning, Verbal Learning
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Kordaki, Maria; Papastergiou, Marina; Psomos, Panagiotis – Education and Information Technologies, 2016
The aim of this work was twofold. First, an empirical study was designed aimed at investigating the perceptions that entry-level non-computing majors--namely Physical Education and Sport Science (PESS) undergraduate students--hold about basic Computer Literacy (CL) issues. The participants were 90 first-year PESS students, and their perceptions…
Descriptors: Undergraduate Students, Student Attitudes, Computer Assisted Instruction, Educational Games
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Blayney, Paul; Kalyuga, Slava; Sweller, John – Educational Technology & Society, 2015
Tailoring of instructional methods to learner levels of expertise may reduce extraneous cognitive load and improve learning. Contemporary technology-based learning environments have the potential to substantially enable learner-adapted instruction. This paper investigates the effects of adaptive instruction based on using the isolated-interactive…
Descriptors: Cognitive Processes, Difficulty Level, Accounting, Teaching Methods
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