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1. Use of personal storytelling in educational videos promotes student engagement and science identity in undergraduate biology courses

   https://doi.org/10.1128/jmbe.00084-25  

   Molder, Amanda L; Anderton, Brittany; Howell, Emily; Goodwin, Sarah; Behrman, Shannon; Ellefson, Marina (October 2025, Journal of Microbiology & Biology Education)

   Hsu, Jeremy L (Ed.)

   ABSTRACT: In this era of information abundance and digital connectivity, educational videos are a transformative and widely used resource in STEM higher education. Much of what is known about the effective use of educational videos comes from analyzing videos used for content delivery and the impacts on knowledge gains or behavioral engagement with videos. Less is known about how videos may impact students’ affective learning experiences, feelings, and attitudes or how to effectively use videos in science education beyond just as a content-delivery tool. This study explored the impact of three distinct video styles: a whiteboard animation, a recorded discovery lecture by one of the discoverers, and a documentary short film featuring both discoverers in conversation on student outcomes in a large-enrollment undergraduate biology class. Students were randomized to watch one of these three formats, all covering the same scientific content (i.e., the Meselson and Stahl experiment), followed by a post-video survey. The documentary film, “The Most Beautiful Experiment,” which integrated interpersonal storytelling and informal dialog, had the most significant impact on outcomes related to affective learning, including science identity, attitudes about biology, speaker relatability, and emotional engagement. No significant differences in knowledge gains were observed across video styles. This study highlights the potential of personalized and embodied video formats to enrich STEM education and warrants further research into their broader applications. 

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2. The Challenge of Rich Vocabulary Instruction for Children With Developmental Language Disorder

   https://doi.org/10.1044/2020_LSHSS-20-00110  

   McGregor, Karla K.; Van Horne, Amanda Owen; Curran, Maura; Cook, Susan Wagner; Cole, Renee (April 2021, Language, Speech, and Hearing Services in Schools)

   null (Ed.)

   Purpose The aims of the study were to explore responses of children with developmental language disorder (DLD) to rich vocabulary instruction and to identify potential factors that contribute to outcomes. Method Children with DLD participated in a language intervention embedded within a science camp. Using parent and clinician reports, standardized tests, probes, notes, and video, we derived descriptions of seven of the campers who received a vocabulary intervention that incorporated principles of rich instruction. We present them here as a case series. Results Five cases responded to the intervention with modest gains in Tier 2 science vocabulary and science knowledge. One case demonstrated no response, and another was unable to complete the intervention. The latter two cases presented with triple risks: DLD, executive function deficits, and stressors associated with poverty. In comparison, the best responder also lived in poverty and had DLD, but he had intact executive function, strengths in extant vocabulary, stronger knowledge of science, better engagement in the science and language intervention activities, and was older. Other factors that seemed to contribute to outcomes included the complexity of the word forms and dosage. Conclusions Translating research on rich instruction to clinical practice is challenging. This case series motivated hypotheses about the nature of the challenge and what to do about it, the primary one being that the modest success of rich vocabulary instruction for children with DLD is not a limitation of the approach itself but rather a reflection of the difficulty of delivering the intervention while tailoring the targets, approach, and dosage to the needs of individual children with DLD. Supplemental Material https://doi.org/10.23641/asha.13667699 

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3. Asymetric Event-Related Potential Priming Effects Between English Letters and American Sign Language Fingerspelling Fonts

   https://doi.org/10.1162/nol_a_00104  

   Sehyr, Zed Sevcikova; Midgley, Katherine J.; Emmorey, Karen; Holcomb, Phillip J. (January 2023, Neurobiology of Language)

   Corina, David P. (Ed.)

   Letter recognition plays an important role in reading and follows different phases of processing, from early visual feature detection to the access of abstract letter representations. Deaf ASL–English bilinguals experience orthography in two forms: English letters and fingerspelling. However, the neurobiological nature of fingerspelling representations, and the relationship between the two orthographies, remains unexplored. We examined the temporal dynamics of single English letter and ASL fingerspelling font processing in an unmasked priming paradigm with centrally presented targets for 200 ms preceded by 100 ms primes. Event-related brain potentials were recorded while participants performed a probe detection task. Experiment 1 examined English letter-to-letter priming in deaf signers and hearing non-signers. We found that English letter recognition is similar for deaf and hearing readers, extending previous findings with hearing readers to unmasked presentations. Experiment 2 examined priming effects between English letters and ASL fingerspelling fonts in deaf signers only. We found that fingerspelling fonts primed both fingerspelling fonts and English letters, but English letters did not prime fingerspelling fonts, indicating a priming asymmetry between letters and fingerspelling fonts. We also found an N400-like priming effect when the primes were fingerspelling fonts which might reflect strategic access to the lexical names of letters. The studies suggest that deaf ASL–English bilinguals process English letters and ASL fingerspelling differently and that the two systems may have distinct neural representations. However, the fact that fingerspelling fonts can prime English letters suggests that the two orthographies may share abstract representations to some extent. 

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4. Investigating a Novel Approach to Assessing Vocabulary Knowledge

   https://doi.org/10.1080/00220973.2024.2382486  

   Zhao, Hongyang; Alexander, Patricia A (August 2024, The Journal of Experimental Education)

   This study explored an alternative approach to assessing individuals’ word knowledge by gauging the ability to recognize subtle similarities and differences among associated terms. Informed by the theoretical and empirical work on relational reasoning, the Measure of Vocabulary Knowledge through Relational Reasoning (MVKR2) was developed and validated. Participants were 338 college students who completed the MVKR2, the Test of Relational Reasoning (TORR), and released items from the SAT Verbal and Math tests. The TORR and SAT tests were administered to examine the convergent and concurrent validities of the MVKR2. Findings from item confirmatory analyses and correlations demonstrated that the MVKR2 is a reliable and valid measure of vocabulary knowledge for college-age students. In addition, fluid relational reasoning ability was associated with the performance on this novel measure, but the association with vocabulary knowledge was stronger. When examined on the scale and item levels, the contribution of fluid relational reasoning varied across scales and items within each scale. This study offered an alternative way to examine vocabulary knowledge that has implications for future empirical research and instructional practice. 

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5. Content Extraction from Lecture Video via Speaker Action Classification Based on Pose Information

   https://doi.org/10.1109/ICDAR.2019.00171  

   Xu, Fei; Davila, Kenny; Setlur, Srirangaraj; Govindaraju, Venu (September 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR))

   Online lecture videos are increasingly important e-learning materials for students. Automated content extraction from lecture videos facilitates information retrieval applications that improve access to the lecture material. A significant number of lecture videos include the speaker in the image. Speakers perform various semantically meaningful actions during the process of teaching. Among all the movements of the speaker, key actions such as writing or erasing potentially indicate important features directly related to the lecture content. In this paper, we present a methodology for lecture video content extraction using the speaker actions. Each lecture video is divided into small temporal units called action segments. Using a pose estimator, body and hands skeleton data are extracted and used to compute motion-based features describing each action segment. Then, the dominant speaker action of each of these segments is classified using Random forests and the motion-based features. With the temporal and spatial range of these actions, we implement an alternative way to draw key-frames of handwritten content from the video. In addition, for our fixed camera videos, we also use the skeleton data to compute a mask of the speaker writing locations for the subtraction of the background noise from the binarized key-frames. Our method has been tested on a publicly available lecture video dataset, and it shows reasonable recall and precision results, with a very good compression ratio which is better than previous methods based on content analysis. 

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