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Barniol, Pablo; Zavala, Genaro – EURASIA Journal of Mathematics, Science & Technology Education, 2016
When we administered the Test of Understanding of Vectors (TUV) to students who were completing a physics university remedial course (which covers subjects of a traditional high school physics course), we observed that they had considerable difficulties in interpreting the dot product as a projection. As a result of this, we decided to design a…
Descriptors: Worksheets, Physics, College Science, Remedial Instruction
Strom, Paris S.; Strom, Robert D.; Sindel-Arrington, Tricia – American Secondary Education, 2016
Junior high school presents a significant increase in time demands both for study and for social relationships. The students (N = 240) in grades 7 and 8 at a junior high school anonymously completed online the Time Management Poll concerning their own use of time and the way their school managed time. The 20 items in the poll allowed them to…
Descriptors: Time Management, Adolescent Attitudes, Junior High School Students, Scheduling
Layton, Delia; McKenna, Sioux – Higher Education Research and Development, 2016
The tutorial system is considered to be a useful pedagogical intervention to improve student retention, particularly in the context of a first-year student's experience of entering university. For these novice students to achieve academic success, it is important that they are given access to the subject-specific knowledge and practices in their…
Descriptors: Teaching Methods, College Freshmen, Academic Persistence, Foreign Countries
Cook, Annette G. – NADE Digest, 2016
In 2007, the president of Shelton State Community College in Alabama announced that with more than 60% of incoming freshmen placing into developmental courses, the college had a moral and ethical obligation to provide top-quality opportunities for underprepared students. He appointed a team to investigate options for improving services and…
Descriptors: Community Colleges, Two Year College Students, College Readiness, Developmental Studies Programs
Allen, Laura K.; Mills, Caitlin; Jacovina, Matthew E.; Crossley, Scott; D'Mello, Sidney; McNamara, Danielle S. – Grantee Submission, 2016
Writing training systems have been developed to provide students with instruction and deliberate practice on their writing. Although generally successful in providing accurate scores, a common criticism of these systems is their lack of personalization and adaptive instruction. In particular, these systems tend to place the strongest emphasis on…
Descriptors: Learner Engagement, Psychological Patterns, Writing Instruction, Essays
Clement, Benjamin; Roy, Didier; Oudeyer, Pierre-Yves; Lopes, Manuel – Journal of Educational Data Mining, 2015
We present an approach to Intelligent Tutoring Systems which adaptively personalizes sequences of learning activities to maximize skills acquired by students, taking into account the limited time and motivational resources. At a given point in time, the system proposes to the students the activity which makes them progress faster. We introduce two…
Descriptors: Learning Activities, Intelligent Tutoring Systems, Models, Teaching Methods
Mayes, J. T. – E-Learning and Digital Media, 2015
The term "vicarious learning" was introduced in the 1960s by Bandura, who demonstrated how learning can occur through observing the behaviour of others. Such social learning is effective without the need for the observer to experience feedback directly. More than twenty years later a series of studies on vicarious learning was undertaken…
Descriptors: Observational Learning, Informal Education, Socialization, Higher Education
O'Donnell, Eileen; Lawless, Séamus; Sharp, Mary; Wade, Vincent P. – International Journal of Distance Education Technologies, 2015
The realisation of personalised e-learning to suit an individual learner's diverse learning needs is a concept which has been explored for decades, at great expense, but is still not achievable by non-technical authors. This research reviews the area of personalised e-learning and notes some of the technological challenges which developers may…
Descriptors: Electronic Learning, Individualized Instruction, Programming, Authors
Jiménez, Verónica A.; Acuña, Fabiola C.; Quiero, Felipe J.; López, Margarita; Zahn, Carmen I. – International Journal of Higher Education, 2015
This work describes the preliminary results of a tutoring program that provides personalized academic assistance to first-year undergraduates enrolled in introductory chemistry, physics and mathematics courses at Universidad Andres Bello (UNAB), in Concepción, Chile. Intervened courses have historically large enrolments, diverse student population…
Descriptors: Physics, Chemistry, Science Instruction, Introductory Courses
Menz, Petra; Jungic, Veselin – Journal of University Teaching and Learning Practice, 2015
Among many challenges a math department at a post-secondary institution will most likely be faced with the optimization problem of how best to offer out-of-lecture learning support to several thousand first- and second-year university students enrolled in large math service courses within given spatial, scheduling, financial, technological, and…
Descriptors: Foreign Countries, Undergraduate Students, Mathematics Instruction, Workshops
Beckett, Roshawnda M. – ProQuest LLC, 2015
African American students enter college with varying academic, financial, and social limitations. The ability for students to accomplish their academic goals in a timely manner is a positive outcome for the students and the Florida College System (FCS). Extant literature on retention suggests that institutions have failed these students. With…
Descriptors: College Students, African American Students, School Holding Power, Graduation Rate
Rollinson, Joseph; Brunskill, Emma – International Educational Data Mining Society, 2015
At their core, Intelligent Tutoring Systems consist of a student model and a policy. The student model captures the state of the student and the policy uses the student model to individualize instruction. Policies require different properties from the student model. For example, a mastery threshold policy requires the student model to have a way…
Descriptors: Prediction, Models, Educational Policy, Intelligent Tutoring Systems
MacLellan, Christopher J.; Liu, Ran; Koedinger, Kenneth R. – International Educational Data Mining Society, 2015
Additive Factors Model (AFM) and Performance Factors Analysis (PFA) are two popular models of student learning that employ logistic regression to estimate parameters and predict performance. This is in contrast to Bayesian Knowledge Tracing (BKT) which uses a Hidden Markov Model formalism. While all three models tend to make similar predictions,…
Descriptors: Factor Analysis, Regression (Statistics), Knowledge Level, Markov Processes
Ostrow, Korinn; Donnelly, Chistopher; Heffernan, Neil – International Educational Data Mining Society, 2015
As adaptive tutoring systems grow increasingly popular for the completion of classwork and homework, it is crucial to assess the manner in which students are scored within these platforms. The majority of systems, including ASSISTments, return the binary correctness of a student's first attempt at solving each problem. Yet for many teachers,…
Descriptors: Intelligent Tutoring Systems, Scoring, Testing, Credits
Chambers, Dana; Krausen, Kelsey; Willis, Jason – WestEd, 2021
School systems are currently faced with critical recovery needs as a result of the COVID-19 pandemic. Leaders must decide how to allocate nearly $200 billion of federal funding, which has the potential to significantly impact efforts to accelerate learning and provide student well-being supports, especially for students who have been…
Descriptors: Federal Aid, Federal Legislation, COVID-19, Pandemics

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