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1. Pharmacy students’ perceptions and attitudes toward face-to-face vs. virtual team-based learning (TBL) in the didactic curriculum: A mixed-methods study

   https://doi.org/10.1080/10872981.2023.2226851  

   Shoair, Osama A; Smith, Winter J; Abdel_Aziz, May H; Veronin, Michael A; Glavy, Joseph S; Pirtle, Shelby J (December 2023, Medical Education Online)

   Virtual TBL is an online adaptation of the team-based learning (TBL) instructional strategy, emphasizing collaborative learning and problem-solving. The emergency shift to virtual TBL during the COVID-19 pandemic presented unique challenges. This study aims to 1) compare overall pharmacy students’ perceptions and attitudes toward face-to-face (FTF) TBL vs. virtual TBL in the didactic curriculum and stratify their perceptions and attitudes by various students’ characteristics; 2) evaluate students’ perceptions of the strengths and weaknesses of virtual TBL. 

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2. Developing Problem-Solving Competency in Data Science: Exploring A Case-Based Approach

   https://doi.org/10.1145/3770762.3772656  

   Chen, Lujie Karen; Alomair, Maryam M; Ali_Yousuf, Muhammad; Pan, Shimei (February 2026, ACM)

   Data Science Problem Solving (DSPS) competency refers to the ability to make key decisions when tackling real-world data challenges. As generative AI becomes increasingly capable of automating low-level routine tasks, it is critical to focus on developing students' higher-order reasoning and problem-solving skills. Despite the high demand for such competencies, training them effectively within typical data science courses remains a challenge. To help students develop robust problem solving competency, it is essential to expose them to a wide range of problem-solving scenarios. Meanwhile, it is desirable to let students receive timely feedback to prompt reflection and enhance learning. In this paper, we present our experience piloting Caselets (bite-sized case studies) designed to scaffold students in data science problem-solving—in graduate-level data science courses. We describe the rationale, design and implementation of the Caselets tool, analyze student performance and experience using the tool as part of their course, and reflect on the instructional design implications. Drawing from instructors' observations and reflections, we discuss lessons learned and offer recommendations for improving and scaling caselet-based practices to better support the needs of both students and instructors. 

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3. Implementing Collaborative Online Lab Experiences to Facilitate Active Learning

   Tcheslavski, GV; Yoo, J; Sayil, S (June 2024, ASEE)

   Laboratory experience is among the key components in engineering education. It is highly instrumental and plays a significant role in students’ knowledge building, application, and distribution. Learning in laboratories is interactive and often collaborative. On the other hand, students, who learn engineering through online mechanisms, may face challenges with labs, which were frequently documented during the recent pandemic. To address such challenges, innovative online lab learning modules were developed, and learning strategies were implemented in five courses in electrical engineering, Circuits I, Electronics I, Electronics II, Signals and Systems, and Embedded System, through which students gain solid foundation before advancing to senior design projects. The two main incorporated strategies were Open-Ended lab design and Teamwork implementation. Open-Ended lab modules using a lab-in-a-box approach allow students solving lab problems with multiple approaches fostering problem solving both independently and collaboratively. This innovative lab design promotes problem solving at various cognitive levels. It is better suited for concept exploration and collaborative lab learning environments as opposed to the traditional lab works with a prescribed approach leading students to follow certain procedures that may lack the problem exploration stage. Additionally, course instructors formed online lab groups, so that students were sharing the problem-solving process – from ideas formation to solutions – with their peers. To evaluate the effectiveness of the implemented lab strategies, students in the participating courses were randomly divided into experimental and control groups. Both assignment grades and students' feedback via surveys were used to evaluate students' learning. Participants in the control group were learning in labs through the materials that were aligned with core concepts by following predetermined procedures. Students in the experimental group learned through inquiry-based lab materials that required them to work in teams by integrating core concepts together to find a solution and while following one of potentially many approaches. To maximize the online lab learning effect and to replicate the contemporary industry, commerce, and research practices, instructor-structured cooperative learning strategies were applied along with pre-lab simulations and instructional videos. This paper showcases the outcomes of our 2nd year implementation of active learning laboratory strategies on the mixed population of online and face-to-face students. We observed that students in the experimental group generally outperformed their counterparts in labs and showed significantly higher results in the assignments addressing more advanced concept understanding and applications (grand average of 88.3% vs. 66.3%). Surveys also indicated that students saw the benefits of collaboration with Open-Ended lab modules not only for learning concepts, but also for improving their communication skills. Students were able to collaborate on lab problems through various communication tools, such as course Learning Management System (LMS) and mobile apps forming online learning communities. We believe that that the implementation of open-ended collaborative laboratory strategies can assist students in cultivating a deeper comprehension, fostering self-confidence, and refining their critical thinking abilities, all while strengthening their sense of inclusion within the field of engineering. 

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4. Redesigning a course based undergraduate research experience for online delivery

   https://doi.org/10.1002/bmb.21780  

   Witucki, Allison; Rudge, David W.; Pleasants, Brandy; Dai, Peng; Beane, Wendy S. (November 2023, Biochemistry and Molecular Biology Education)

   Abstract The COVID‐19 pandemic forced educators to teach in an online environment. This was particularly challenging for those teaching courses that are intended to support bench science research. This practitioner article tells the story of how an instructor transformed their Course‐based Undergraduate Research Experience (CURE) using the Backwards Design Method into a synchronous online course. Research objectives in this transformed course included: conducting a literature review, identifying research questions and hypotheses based on literature, and developing practical and appropriate research methodologies to test these hypotheses. We provide details on how assignments were created to walk students through the process of research study design and conclude with recommendations for the implementation of an online CURE. Recommendations made by the instructor include scaffolding the design, building opportunities for collaboration, and allowing students to fail in order to teach the value of iteration. The Backwards Design framework naturally lends itself to a scaffolded instructional approach. By identifying the learning objectives and final assessment, the learning activities can be designed to help students overcome difficult concepts by filling in the gaps with purposeful instruction and collaborative opportunities. This present course also practiced iteration through the extensive feedback offered by the instructor and opportunities for students to revise their work as their understanding deepened. Anecdotally, based on end of course reviews, students overall had a positive experience with this course. Future work will examine the efficacy of student learning in this online environment and is forthcoming. 

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5. Youth invisible work: the sociocultural and collaborative processes of online search and brokering between adolescents and English-language learning families

   https://doi.org/10.1108/ILS-01-2022-0004  

   Yip, Jason; Roldan, Wendy; Gonzalez, Carmen; Pina, Laura R.; Ruiz, Maria; Vanegas, Paola (July 2022, Information and Learning Sciences)

   This study aims to investigate the collaboration processes of immigrant families as they search for online information together. Immigrant English-language learning adults of lower socioeconomic status often work collaboratively with their children to search the internet. Family members rely on each other’s language and digital literacy skills in this collaborative process known as online search and brokering (OSB). While previous work has identified ecological factors that impact OSB, research has not yet distilled the specific learning processes behind such collaborations. Design/methodology/approach: For this study, the authors adhere to practices of a case study examination. This study’s participants included parents, grandparents and children aged 10–17 years. Most adults were born in Mexico, did not have a college-degree, worked in service industries and represented a lower-SES population. This study conducted two to three separate in-home family visits per family with interviews and online search tasks. Findings: From a case study analysis of three families, this paper explores the funds of knowledge, resilience, ecological support and challenges that children and parents face, as they engage in collaborative OSB experiences. This study demonstrates how in-home computer-supported collaborative processes are often informal, social, emotional and highly relevant to solving information challenges. Research limitations/implications: An intergenerational OSB process is different from collaborative online information problem-solving that happens between classroom peers or coworkers. This study’s research shows how both parents and children draw on their funds of knowledge, resilience and ecological support systems when they search collaboratively, with and for their family members, to problem solve. This is a case study of three families working in collaboration with each other. This case study informs analytical generalizations and theory-building rather than statistical generalizations about families. Practical implications: Designers need to recognize that children and youth are using the same tools as adults to seek high-level critical information. This study’s model suggests that if parents and children are negotiating information seeking with the same technology tools but different funds of knowledge, experience levels and skills, the presentation of information (e.g. online search results, information visualizations) needs to accommodate different levels of understanding. This study recommends designers work closely with marginalized communities through participatory design methods to better understand how interfaces and visuals can help accommodate youth invisible work. Social implications: The authors have demonstrated in this study that learning and engaging in family online searching is not only vital to the development of individual and digital literacy skills, it is a part of family learning. While community services, libraries and schools have a responsibility to support individual digital and information literacy development, this study’s model highlights the need to recognize funds of knowledge, family resiliency and asset-based learning. Schools and teachers should identify and harness youth invisible work as a form of learning at home. The authors believe educators can do this by highlighting the importance of information problem solving in homes and youth in their families. Libraries and community centers also play a critical role in supporting parents and adults for technical assistance (e.g. WiFi access) and information resources. Originality/value: This study’s work indicates new conditions fostering productive joint media engagement (JME) around OSB. This study contributes a generative understanding that promotes studying and designing for JME, where family responsibility is the focus. 

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