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Lars de Vreugd; Anouschka van Leeuwen; Marieke van der Schaaf – Journal of Computer Assisted Learning, 2025
Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…
Descriptors: Learning Analytics, Educational Technology, Goal Orientation, Learning Motivation
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Pastushenkov, Dmitrii; Camp, Cameron; Zhuchenko, Iryna; Pavlenko, Olesia – TESOL Journal, 2021
In this study, the researchers investigated the effects of shared and different first language (L1) background, L1 use amounts, and peer familiarity on the frequency of language-related episodes (LREs) and task scores in interactive pair work. By exploring these variables in distinct interactions, the authors attempted to obtain a more…
Descriptors: Native Language, Second Language Learning, English (Second Language), Task Analysis
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Hahnel, Carolin; Goldhammer, Frank; Kroehne, Ulf; Mahlow, Nina; Artelt, Cordula; Schoor, Cornelia – Studies in Higher Education, 2021
The study investigates automated and controlled cognitive processes that occur when university students read multiple documents (MDs). We examined data of 401 students dealing with two MD sets in a digital environment. Performance was assessed through several comprehension questions. Recorded log data gave indications about students' time…
Descriptors: Automation, Reading Comprehension, Cognitive Processes, College Students
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Cody L. Patterson; Mai Bui; Lino Guajardo; Carlos Acevedo; Brandi Rygaard Gaspard; Rebecca McGraw – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
We investigate the beliefs that influence middle and high school algebra teachers' appraisals of contextual problems having diverse mathematical and pedagogical features. We asked six teachers to analyze six contextual algebra tasks and indicate how they would apportion instructional time among the six tasks based on their structure, pedagogical…
Descriptors: Mathematics Teachers, Middle School Teachers, High School Teachers, Teacher Attitudes
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Tacoma, Sietske; Heeren, Bastiaan; Jeuring, Johan; Drijvers, Paul – International Journal of Artificial Intelligence in Education, 2020
Hypothesis testing involves a complex stepwise procedure that is challenging for many students in introductory university statistics courses. In this paper we assess how feedback from an Intelligent Tutoring System can address the logic of hypothesis testing and whether such feedback contributes to first-year social sciences students' proficiency…
Descriptors: Hypothesis Testing, Feedback (Response), Intelligent Tutoring Systems, Introductory Courses
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Olive, Thierry; Barbier, Marie-Laure – Written Communication, 2017
We examined longhand note taking strategies when reading and summarizing a source text that was formatted with bullets or that was presented in a single paragraph. We analyzed cognitive effort when reading the source text, when jotting notes, when reading the notes, and when composing the summary, as well as time spent in these activities and the…
Descriptors: Time on Task, Cognitive Processes, Notetaking, Documentation
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Mihalca, Loredana; Mengelkamp, Christoph; Schnotz, Wolfgang – Metacognition and Learning, 2017
A possible explanation for why students do not benefit from learner-controlled instruction is that they are not able to accurately monitor their own performance. The purpose of this study was to investigate whether and how the accuracy of metacognitive judgments made during training moderates the effect of learner control on performance when…
Descriptors: Metacognition, Accuracy, Learner Controlled Instruction, Problem Solving
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Eaton, Judy; Tieber, Christine – Art Therapy: Journal of the American Art Therapy Association, 2017
This study tested whether the structure of a coloring task has an effect on anxiety, mood, and perseverance. Eighty-five undergraduate students were randomly assigned to 1 of 2 coloring conditions: free choice, where they could color an image using any colors they wanted, and forced choice, where they were instructed to copy the colors of a…
Descriptors: Undergraduate Students, Freehand Drawing, Color, Task Analysis
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Fukuzawa, Ryoko; Joho, Hideo; Maeshiro, Tetsuya – Education for Information, 2015
This paper reports the results of a survey that investigated the practice and experience of task management of university students. A total of 202 tasks identified by 24 university students were analyzed. The results suggest that participants had a reasonable sense of priority of tasks, that they tend to perceive a task as a big chunk, not a…
Descriptors: College Students, Task Analysis, Self Management, Needs Assessment
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Kononova, Anastasia G.; Yuan, Shupei – Journalism and Mass Communication Educator, 2017
A survey (N = 524) examined how frequently college students engage in multitasking with social media, texting/instant messaging (IM), and music while studying/working and what motivates them to multitask with each medium. Four out of five participants multitasked with Facebook and texting/IM, and two out of three multitasked with music. Habit was…
Descriptors: College Students, Task Analysis, Student Motivation, Learning Motivation
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Judd, Terry – Australasian Journal of Educational Technology, 2015
Detailed logs of students' computer use, during independent study sessions, were captured in an open-access computer laboratory. Each log consisted of a chronological sequence of tasks representing either the application or the Internet domain displayed in the workstation's active window. Each task was classified using a three-tier schema…
Descriptors: Foreign Countries, Independent Study, Time Management, Executive Function
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Lovett, Benjamin J.; Lewandowski, Lawrence J.; Potts, Heather E. – Journal of Psychoeducational Assessment, 2017
Students often feel time pressure when taking tests, and students with disabilities are sometimes given extended time testing accommodations, but little research has been done on the factors that affect students' test-taking speed. In the present study, 253 students at two colleges completed measures of processing speed, reading fluency, and…
Descriptors: Reading Fluency, Test Wiseness, Reading Skills, Standardized Tests
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Qiu, Xuyan; Lo, Yuen Yi – Language Teaching Research, 2017
Previous research has considered the effects of content familiarity and task repetition on second language (L2) performance, but few studies have looked at the effect of these factors on learners' engagement in task performance. This study explores the influence of content familiarity and task repetition on English as a foreign language (EFL)…
Descriptors: Familiarity, Course Content, English (Second Language), Second Language Learning
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Mori, Kanetaka; Okamoto, Masahiko – Journal of Educational Psychology, 2017
We investigated how the updating function supports the integration process in solving arithmetic word problems. In Experiment 1, we measured reading time, that is, translation and integration times, when undergraduate and graduate students (n = 78) were asked to solve 2 types of problems: those containing only necessary information and those…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Mathematical Concepts
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Rienties, Bart; Giesbers, Bas; Lygo-Baker, Simon; Ma, Hoi Wah Serena; Rees, Roger – Interactive Learning Environments, 2016
After a decade of virtual learning environments (VLEs) in higher education, many teachers still use only a minimum of its affordances. This study looked at how academic staff interacted with a new and unknown VLE in order to understand how technology acceptance and support materials influence (perceived and actual) task performance. In an…
Descriptors: Virtual Classrooms, Technological Literacy, Pedagogical Content Knowledge, Control Groups
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