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Nicklay, Jennifer – Writing Center Journal, 2012
During class discussions, the author's fellow consultants would often lament consultations that could have gone better if they had only known the "rules" of how to handle the situation. They perceived that there were acceptable and unacceptable ways to approach certain situations, rather than a range of flexible choices. The author began to…
Descriptors: Consultants, Cooperation, Laboratories, Anxiety
Lehman, Blair; D'Mello, Sidney; Strain, Amber; Mills, Caitlin; Gross, Melissa; Dobbins, Allyson; Wallace, Patricia; Millis, Keith; Graesser, Art – International Journal of Artificial Intelligence in Education, 2013
Cognitive disequilibrium and its affiliated affective state of confusion have been found to positively correlate with learning, presumably due to the effortful cognitive activities that accompany their experience. Although confusion naturally occurs in several learning contexts, we hypothesize that it can be induced and scaffolded to increase…
Descriptors: Psychological Patterns, Undergraduate Students, Intelligent Tutoring Systems, Learning
Vick, Nicholas; Robles-Piña, Rebecca A.; Martirosyan, Nara M.; Kite, Valerie – Community College Enterprise, 2015
Tutoring is an important form of academic support for developmental education students. A comparison study was conducted to investigate the benefits of tutoring on the final grades for developmental English students who participated in tutoring versus those students who did not. The final grades for three consecutive semesters were analyzed to…
Descriptors: Tutoring, Instructional Effectiveness, Developmental Programs, English
Stover, Katie; O'Rear, Allison; Morris, Carolyn – Texas Journal of Literacy Education, 2015
Research suggests that additional reading instruction is necessary to support struggling adolescent readers. In addition to time allocated for reading and access to appropriately leveled texts, many students need teacher support in learning and implementing a range of reading strategies. As a high school English teacher and a middle school Social…
Descriptors: Adolescents, Reading Difficulties, Student Needs, Tutoring
Rouhani, Saeed; Mirhosseini, Seyed Vahid – International Journal of Web-Based Learning and Teaching Technologies, 2015
Today, several educational portals established by organizations to enhance web E-learning. Intelligence agent's usage is necessary to improve the system's quality and cover limitations such as face-to-face relation. In this research, after finding two main approaches in this field that are fundamental use of intelligent agents in systems design…
Descriptors: Intelligent Tutoring Systems, Electronic Learning, Integrated Learning Systems, Computer Software Evaluation
De Backer, Liesje; Van Keer, Hilde; Valcke, Martin – Instructional Science: An International Journal of the Learning Sciences, 2015
Although successful collaborative learning requires socially shared metacognitive regulation (SSMR) of the learning process among multiple students, empirical research on SSMR is limited. The present study contributes to the emerging research on SSMR by examining its correlation with both collaborative learners' content processing strategies and…
Descriptors: Peer Teaching, Tutoring, Metacognition, Cooperative Learning
Klingler, Severin; Käser, Tanja; Solenthaler, Barbara; Gross, Markus – International Educational Data Mining Society, 2015
Modeling student knowledge is a fundamental task of an intelligent tutoring system. A popular approach for modeling the acquisition of knowledge is Bayesian Knowledge Tracing (BKT). Various extensions to the original BKT model have been proposed, among them two novel models that unify BKT and Item Response Theory (IRT). Latent Factor Knowledge…
Descriptors: Intelligent Tutoring Systems, Knowledge Level, Item Response Theory, Prediction
Van Inwegen, Eric G.; Adjei, Seth A.; Wang, Yan; Heffernan, Neil T. – International Educational Data Mining Society, 2015
User modelling algorithms such as Performance Factors Analysis and Knowledge Tracing seek to determine a student's knowledge state by analyzing (among other features) right and wrong answers. Anyone who has ever graded an assignment by hand knows that some answers are "more wrong" than others; i.e. they display less of an understanding…
Descriptors: Knowledge Level, Performance Factors, Error Patterns, Mathematics
Matthew E. Jacovina; Erica L. Snow; G. Tanner Jackson; Danielle S. McNamara – Grantee Submission, 2015
To optimize the benefits of game-based practice within Intelligent Tutoring Systems (ITSs), researchers examine how game features influence students' motivation and performance. The current study examined the influence of game features and individual differences (reading ability and learning intentions) on motivation and performance. Participants…
Descriptors: Game Based Learning, Intelligent Tutoring Systems, Learning Motivation, Performance
Lee, Nancy; Hong, Eunsook – IAFOR Journal of Education, 2017
The study described here explored the differential effects of two learning strategies, self-explanation and reading questions and answers, on learning the computer programming language JavaScript. Students' test performance and perceptions of effectiveness toward the two strategies were examined. An online interactive tutorial instruction…
Descriptors: Computer Science Education, Programming, Introductory Courses, High School Students
Spark, Linda; De Klerk, Danie; Maleswena, Tshepiso; Jones, Andrew – Journal of Student Affairs in Africa, 2017
The exponential growth of higher education enrolment in South Africa has resulted in increased diversity of the student body, leading to a proliferation of factors that affect student performance and success. Various initiatives have been adopted by tertiary institutions to mitigate the negative impact these factors may have on student success,…
Descriptors: Success, Teaching Methods, Curriculum Implementation, Tutoring
Wegner, Theresa Marie – International Journal of Adult Vocational Education and Technology, 2017
This qualitative study identified the factors that contributed to the success experienced by students with learning disabilities in their first year of college. The primary factors that emerged from student interviews were their attitudes about higher education, and their personal attributes including motivation, maturity, and persistence.…
Descriptors: Learning Disabilities, Self Determination, Qualitative Research, College Freshmen
Falk-Ross, Francine; Dealy, Ann; Porcelli, Justinna; Hammond, Jonna; Evans, Brian – Reading & Writing Quarterly, 2017
We studied the process and products of developing effective tutoring programs to support Tier 2 bilingual students with a focus on teachers' perspectives and students' achievement to assess and teach students based on need. With the understanding that young students require individual attention to resolve specific misunderstandings, optimally…
Descriptors: Bilingualism, After School Programs, Tutoring, Literacy Education
Xin, Yan Ping; Tzur, Ron; Hord, Casey; Liu, Jia; Park, Joo Young; Si, Luo – Learning Disability Quarterly, 2017
The Common Core Mathematics Standards have raised expectations for schools and students in the United States. These standards demand much deeper content knowledge from teachers of mathematics and their students. Given the increasingly diverse student population in today's classrooms and shortage of qualified special education teachers,…
Descriptors: Intelligent Tutoring Systems, Computer Assisted Instruction, Mathematics Instruction, Learning Disabilities
Michalenko, Joshua J.; Lan, Andrew S.; Waters, Andrew E.; Grimaldi, Philip J.; Baraniuk, Richard G. – International Educational Data Mining Society, 2017
An important, yet largely unstudied problem in student data analysis is to detect "misconceptions" from students' responses to "open-response" questions. Misconception detection enables instructors to deliver more targeted feedback on the misconceptions exhibited by many students in their class, thus improving the quality of…
Descriptors: Data Analysis, Misconceptions, Student Attitudes, Feedback (Response)

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