We study the problem of providing recommendations to students that help them in their studies. To address this problem, we present an approach of providing recommendations of remedial learning materials to students that fill the gaps in their knowledge of the subject in the courses they take. According to this method, we first identify gaps in the student’s mastery of various course topics. We ...

Students’ performances in introductory programming courses show large variation across students. There may be many reasons for these variations, such as methods of teaching, teacher competence in the subject, students’ coding backgrounds and abilities, students’ self-discipline, the teaching environment, and the resources available to students, all of which can affect student performance and ou...

COVID-19 has changed the way we teach. Today, have become far more experienced in delivery of distance education and use online tools. However, quality learning outcomes a matter ongoing debate. Just as higher aims to develop high-level skills its students, researchers are seeking ways perform valid reliable assessment education. Institutions educators also search tools that can help prevent in...

The article presents the experiments carried out as part of the participation in Recognizing Inference in Text (NTCIR-9 RITE) @NTCIR9 for Japanese.NTCIR-9 RITE has four subtasks, Binary-class (BC) subtask, Multi-class (MC) subtask, Entrance Exam and NTCIR-9 RITE4QA. We have submitted a total of three unique runs (Run 1, Run 2 and Run 3) in the BC subtask and one run each in the MC Subtask, Entr...

PURPOSE To evaluate the angle closure scoring system (ACSS) for stratifying primary angle course disease. METHODS This observational cross sectional institutional study included patients with primary open angle glaucoma suspects (n = 21) and primary angle closure disease (primary angle closure, PAC, n = 63 and primary angle course glaucoma, PACG, n = 58 (defined by International society of Ge...

Communication assessment in interpreting has developed into an area with new models and continues to receive growing attention recent years. The process refers the of messages composed both “verbal” “nonverbal” signals. A few relevant studies revolving around automatic scoring investigated fluency based on objective temporal measures, correlation between machine translation metrics human scores...