Elementary teachers and preservice elementary teachers, provided data regarding their use of digital tools to reach, teach and engage their elementary students during remote teaching. This study examined the tools that were most likely to continue to be useful during face-2-face teaching. In addition, the study attempted to analyze the ways…

Computational Thinking (CT), entailing both domain-general and domain-specific skills, is a competency fundamental to computing education and beyond. However, as a cross-domain competency, appropriate assessment design and method remain equivocal. Indeed, the majority of the existing assessments have a predominant focus on measuring programming…

The article documents students' experiences with the shift online at the onset of the COVID-19 pandemic and provides informed recommendations to STEM instructors regarding academic integrity and student stress. Over 500 students were surveyed on these topics, including an open-ended question. Students experienced more stress and perceived a…

Chan's book explores the challenges in assessing experiential learning, deepens our understanding, and inspires readers to think critically about the purpose of assessment in experiential learning. Experiential learning has been studied and proven to be effective for student learning, particularly for the development of holistic competencies (i.e.…

While the COVID-19 pandemic necessitated the short-term use of online courses, colleges' experiences with COVID-era online course delivery may also affect the way that they offer and approach online courses going forward. We draw on interviews with 35 distance education leaders from the California Community Colleges system to provide insights into…

Written expression curriculum-based measurement (WE-CBM) is a formative assessment approach for screening and progress monitoring. To extend evaluation of WE-CBM, we compared hand-calculated and automated scoring approaches in relation to the number of screening samples needed per student for valid scores, the long-term predictive validity and…

Written expression curriculum-based measurement (WE-CBM) is a formative assessment approach for screening and progress monitoring. To extend evaluation of WE-CBM, we compared hand-calculated and automated scoring approaches in relation to the number of screening samples needed per student for valid scores, the long-term predictive validity and…

The use of digital environments for both learning and assessment is becoming prevalent. This often leads to incongruent situations, in which the study medium (eg, printed textbook) is different from the testing medium (eg, online multiple-choice exams). Despite some evidence that incongruent study-test situations are associated with inferior…

COVID-19 pandemic had an impact on many day-to-day activities but one of the biggest collateral impacts was felt by the education sector. The nature and the complexity of higher education is such that no matter how prepared we are as faculty, how planned our teaching and assessments, faculty are all too aware of the adjustments that have to be…

The aim of this study is to reveal the views of the practitioners regarding the measurement and evaluation sub-system of distance education applications in higher education. 11 faculty members working at Akdeniz University, determined with an easily accessible sampling of purposeful sampling methods, participated in this study in which qualitative…

COVID-19 global pandemic pushed a large number of higher educational institutions to use Online Proctored Exams (OPE) because of government-imposed lockdowns. Treating OPE as an educational technology innovation, we apply the diffusion of innovation theory in predicting factors affecting its adoption by university students which we believe is the…

This article explores the implementation of an online high-stakes language proficiency test during the COVID-19 pandemic through a narrative inquiry of a test-designer, Eda (pseudonym). Situated in the context of Turkish higher education, this study examines Eda's narrative accounts with regard to the development of test adaptation and…

Autograding systems are being increasingly deployed to meet the challenges of teaching programming at scale. Studies show that formative feedback can greatly help novices learn programming. This work extends an autograder, enabling it to provide formative feedback on programming assignment submissions. Our methodology starts with the design of a…

The purpose of this study was to analyze a large sample of volunteers from the general population who were tested with an identical online measure of singing accuracy. A sample of 632 participants completed the Seattle Singing Accuracy Protocol (SSAP), a standardized measure of singing accuracy, available online, that includes a test of pitch…

The purpose of this study was to connect the learning school of computer education students at Dehasen University Bengkulu in using google class. This type of research is descriptive qualitative. Respondents' answers using the google form application. Data were analyzed by stages of reduction, display and conclusion drawing or verification. The…