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Kolchenko, Vasiliy – HAPS Educator, 2018
Artificial intelligence (AI) is transforming many fields, including education. Can modern AI replace teachers? We discuss some popular AI applications for adaptive learning, how they are related to personalized education, what makes these applications "intelligent," and how the quality and quantity of student-generated data changes the…
Descriptors: Artificial Intelligence, Individualized Instruction, Computer Assisted Instruction, Student Reaction
Hoang, Giang Thi Linh – JALT CALL Journal, 2022
This study examines the implementation of "Criterion," an automated writing evaluation system developed by ETS, as a source of diagnostic feedback on learners' linguistic performance in a Vietnamese EFL writing classroom. Thirty-eight second-year English majors had access to "Criterion" for a five-month period. Data include…
Descriptors: Feedback (Response), Student Reaction, Writing Evaluation, Second Language Learning
Kidron, Ivy – International Journal for Technology in Mathematics Education, 2018
In this paper I analyze students' conceptual understanding of the quality of polynomial approximation. In particular, I analyze to what extent the interactive play with various methods of interpolation enables the students to build visual pictures that help understanding the formal mathematical statements. The role of the Mathematica software in…
Descriptors: Algebra, Mathematical Formulas, Concept Formation, Interaction
Wagner, Jennifer; Sharp, Janet – Mathematics Teacher, 2017
Calculus, perhaps more than other areas of mathematics, has a reputation for being steeped with procedures. In fact, through the years, it has been noticed of many students getting caught in the trap of trying to memorize algorithms and rules without developing associated concept knowledge. Specifically, students often struggle with the…
Descriptors: Calculus, Mathematics Instruction, Mathematical Concepts, Concept Formation
Carver, Lin; Todd, Carol – Higher Learning Research Communications, 2013
Examination of student comments and end of course surveys from previous courses revealed two content design themes: request for additional graphics and visuals to support content and improved quality and opportunities to master content. Researchers wanted to investigate if incorporating SoftChalk, an e-authoring tool, would effectively address…
Descriptors: Student Attitudes, Mixed Methods Research, Likert Scales, Learner Engagement
Mampadi, Freddy; Chen, Sherry Y.; Ghinea, Gheorghita; Chen, Ming-Puu – Computers & Education, 2011
In the past decade, a number of adaptive hypermedia learning systems have been developed. However, most of these systems tailor presentation content and navigational support solely according to students' prior knowledge. On the other hand, previous research suggested that cognitive styles significantly affect student learning because they refer to…
Descriptors: Cognitive Style, Student Attitudes, Computer Assisted Instruction, Prior Learning
Baecher, Laura; Kung, Shiao-Chuan – Journal of Digital Learning in Teacher Education, 2011
Video analysis of teaching is an important element of teacher education, yet the skills of classroom observation are often assumed rather than explicitly taught. To prepare a group of teacher trainees to interpret videos of their own teaching, the researchers developed a self-paced, online workshop to introduce micro-ethnographic techniques for…
Descriptors: Evidence, Electronic Learning, Video Technology, Feedback (Response)
Barnes, Tiffany; Stamper, John – Educational Technology & Society, 2010
In building intelligent tutoring systems, it is critical to be able to understand and diagnose student responses in interactive problem solving. However, building this understanding into a computer-based intelligent tutor is a time-intensive process usually conducted by subject experts. Much of this time is spent in building production rules that…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Tutors, Probability
Furberg, A. – Journal of Computer Assisted Learning, 2009
This paper reports on a qualitative study of students' engagement with a Web-based inquiry environment aimed at prompting student reflection in processes of scientific inquiry. In order to demonstrate how prompts become structuring resources for students' scientific inquiry, detailed analyses of students' interaction processes are conducted. The…
Descriptors: Student Attitudes, Prompting, Internet, Reflection
Blood, Erika; Neel, Richard – Journal of Technology and Teacher Education, 2008
The effects of using a student response system (SRS) in a graduate lecture class in special education were investigated. Comparisons of content mastery and self-reported engagement between lectures with the SRS and without were made. Students demonstrated more mastery of content on weekly quizzes and reported increased class engagement on those…
Descriptors: Student Reaction, Tests, Lecture Method, Graduate Students
Holley, Debbie; Oliver, Martin – Computers & Education, 2010
The widening participation agenda was instigated by a government seeking to develop skilled workers in the global economy, yet it has consistently refused to fund the burgeoning student population adequately. Managers and academics within the HE sector have to reconcile requirements for the implementation of policies with an increasing "audit"…
Descriptors: Access to Education, Learner Engagement, Risk, Educational Policy
Green, Rebecca S.; Eppler, Marion A.; Ironsmith, Marsha; Wuensch, Karl L. – British Journal of Educational Technology, 2007
We tested the effects of two embedded review question formats and the application of web design guidelines in a computer-assisted mastery learning course in developmental psychology. Students used either a branching review question format that redirected them to relevant portions of the study module after incorrect answers or a linear format that…
Descriptors: Teaching Methods, Programming, Opinions, Guidelines
Cummings, Richard G.; Hsu, Maxwell – Journal of College Teaching & Learning, 2007
Does the use of student response systems (clickers) in the classroom increase student performance on exams? Do students perceive a benefit to using clickers in the classroom? This study investigates the effect of student response systems on accounting students' learning outcome and perceived satisfaction. Results show that, though the use of…
Descriptors: Student Attitudes, Computer Software, Computer Assisted Instruction, Student Reaction
Hoekstra, Angel – Learning, Media and Technology, 2008
Teachers have begun using student response systems (SRSs) in an effort to enhance the learning process in higher education courses. Research providing detailed information about how interactive technologies affect students as they learn is crucial for professors who seek to improve teaching quality, attendance rates and student learning. This…
Descriptors: Student Attitudes, Participant Observation, Student Reaction, Social Environment
Gilbert, Jennifer; Morton, Susan; Rowley, Jennifer – British Journal of Educational Technology, 2007
The paper draws on in-depth qualitative comments from student evaluation of an e-learning module on an MSc in Information Technologies and Management, to develop a picture of their perspective on the experience. Questionnaires that yielded some basic quantitative data and a rich seam of qualitative data were administered. General questions on…
Descriptors: Theory Practice Relationship, Student Experience, Learning Experience, Interaction