Automated corrective feedback (ACF), in which a computer system helps language learners identify and correct errors in their writing or speech, is considered an important tool for language instruction by many researchers. Such systems allow learners to correct their own mistakes, thereby reducing teacher workload and potentially preventing issues…

Instructor feedback strategies play a key role in the learning acquisition process, especially in online environments. In addition, educational improvement and reform cannot occur without timely and effective assessment approaches. This study, grounded on Bandura's 1967 "self-efficacy and social cognitive theory," focused on identifying…

The purpose of this narrative study was to explore primary teachers' perceptions about computer-based reading comprehension assessments to understand their adoption practices and any associated hesitancy around implementing computer-based assessments. As such, this study sought understand how primary teachers explain their experiences, challenges,…

As Computer Science course enrollments have increased over recent years, instructors have turned to automated grading systems to help relieve the burden of processing student assignments. However, the available autograding solutions have generally lacked support for traditionally difficult-to-grade advanced topics courses. In this thesis, I…

While recent research has shown that multimodal feedback and use of formulaic sequences (FS) are effective in improving student performance on writing tasks, there is a dearth of studies on the impact of these aspects on computer-based academic speaking assessments. This dissertation seeks to fill this gap by examining the impact of both…

Information technology is now ubiquitous in higher education institutions worldwide. More than 85% of American universities use e-learning systems to supplement traditional classroom activities. An obvious benefit of these online tools is their ability to automatically grade exercises submitted by students and provide immediate feedback. Most of…

This study explored the nature of feedback strategies that teachers of Pennsylvania's Keystone courses (Algebra I, biology, and literature) used to prepare their students to meet the minimum proficiency standard on the corresponding Keystone exam, taken at the end of the course. Teachers reported highest usage of the following feedback types:…

Intelligent Computer Assisted Language Learning (ICALL) uses advanced technology to provide customized learning and individualized feedback to foreign language students (Heift & Schulze, 2007). Some comprehensive ICALL programs claim the ability to take learners from no knowledge of a language to levels of advanced knowledge and comprehension.…

The purpose of this qualitative descriptive case study was to understand how online undergraduate math instructors perceive student learning in the online learning environment. With significantly higher attrition rates in online math courses, researchers should seek to identify instructional elements that could potentially lead to increased…

Evaluation of instruction has typically occurred during development, before implementation, and after course completion. The problem is that evaluation is typically post delivery; courses are not traditionally updated in real time with feedback from students in the classroom. However the potential to evaluate and modify instruction during delivery…

Surgery as a profession requires significant training to improve both clinical decision making and psychomotor proficiency. In the medical knowledge domain, tools have been developed, validated, and accepted for evaluation of surgeons' competencies. However, assessment of the psychomotor skills still relies on the Halstedian model of…

Information communication technologies (ICT) in education is an expanding field, and within this field there is a need for development of effective systems for faculty and learners to communicate feedback and assess performance. The increasing migration of many academic disciplines and courses to an online format has prompted an increased need for…

In this dissertation, I explore unsupervised techniques for the task of automatic short answer grading. I compare a number of knowledge-based and corpus-based measures of text similarity, evaluate the effect of domain and size on the corpus-based measures, and also introduce a novel technique to improve the performance of the system by integrating…

This study investigated the effect of student prior knowledge and feedback type on student achievement and satisfaction in an introductory managerial accounting course using computer-based formative assessment tools. The study involved a redesign of the existing Job Order Costing unit using the ADDIE model of instructional design. The…

Test anxiety creates problems for many students, and can have a negative impact on the academic performance of many who suffer from it (Jones & Petruzzi, 1995). Typical treatment components for test anxiety involve psychoeducation, relaxation training, gradual exposure, cognitive restructuring, study skills training, and relapse prevention.…