Dr. Hannah Hausman awarded Hellman Fellowship!

In collaboration with graduate student Melanie Prieto, Dr. Hausman and Melanie will explore how to improve worked examples as a tool for learning mathematics. Often seen on websites such as Chegg, Slader, etc., worked examples have been regarded as beneficial for student learning. However, this lab’s research has routinely shown that worked examples decrease the … Read more

Dr. Hannah Hausman awarded large grant from the Spencer Foundation!

Dr. Hannah Hausman, in collaboration with Linguistics professors Dr. Matthew Wages and Dr. Pranav Anand was recently awarded a large grant by the Spencer Foundation. The grant’s purpose is to fund education research that will help contribute to the improvement of education broadly. According to the foundation, they support “rigorous, intellectually ambitious and technically sound … Read more

Hausman Memory and Metacognition Lab at a Successful Psychonomics

Several members of the Hausman Memory and Metacognition Lab recently attended, and presented at, the 64th Annual Psychonomics Society Conference. Our own Dr. Hannah Hausman gave a talk at the International Association of Metacognition pre-meeting on community college math teachers’ beliefs about learning. Several lab members also presented posters of their individual research, including our … Read more

Article: Are you sure? Examining the potential benefits of truth-checking as a learning activity

Students don’t always know what they’re hearing is true. The memory effects of this uncertainty of whether information is ‘right’ and ‘wrong’ when encountering material is not entirely known, however. Uncertainty could encourage learners to engage in deep processing, producing better learning of correct information. Alternatively, uncertainty could erode trust and undermine learning of correct … Read more

Dr. Hannah Hausman named a UCSC TLC Faculty Fellow

Our Primary Investigator, Dr. Hannah Hausman, has recently been selected to be on UCSC’s Teaching and Learning Center’s (TLC) Faculty Fellows. For this upcoming 2023-24 year, the theme for the Faculty Fellows group will be “Evidence for Equity” in which fellows will “examine how different types of assessment, from the classroom scale to programmatic level, … Read more

Article: Testing effects for self-generated versus experimenter-provided questions

Retrieval practice–or answering practice questions–can dramatically enhance learning compared to more passive study methods like rereading. But what if study guide questions or practice exams aren’t available? Teachers and professors often suggest students should write their own questions and quiz themselves to prepare for exams. But does this method actually improve learning? To test this … Read more

Article: Delayed Metacomprehension Judgments Do Not Directly Improve Learning from Texts

Does thinking about how well you’ve understood what you’re reading help you learn? Previous research has found that making judgments of learning (JOLs) can directly improve learning of simple materials in the lab like lists words. Drs. Hannah Hausman and Veit Kubik tested whether this effect extends to more realistic materials, such as the instructional … Read more

Poster: Optimal Timing of Feedback Depends on Retrieval Success

Does the optimal timing of feedback after an error change with retrieval success? In research conducted by our second-year Ph.D. student, Jexy An Nepangue, the answer was found to be yes. In her work which she presented earlier this year at the 2023 Western Psychological Association Conference, Nepangue showed that immediate feedback after errors was more … Read more

Poster: Worked examples, self-explanation, and metacognition across levels of expertise in math learning

How do worked examples, or step-by-step answer guides, affect math learning and metacognition? Our own graduate student, Melanie Prieto, hypothesizes that worked examples can be made more effective by requiring students to explain steps of the problems as they learn, especially for novices. Presenting her work at this year’s 2023 Western Psychological Association Conference, Prieto hypothesizes … Read more

Poster: Does producing errors enhance learning of episodic information?

Does producing errors enhance learning of episodic information? Our ongoing research suggests the answer is no, even if semantic supports are provided. Recently graduated research assistant, Siobhan Moher, presented a poster of this work on to the UCSC Psi Chi chapter. You can access the UCSC Psi Chi chapter here and be sure to check … Read more

New data manager!

Mariah Ryan is now a college graduate and is moving out into the world! We are so proud of her and so grateful of all the work she has done for the Hausman Lab! As the first data manager, Mariah began creating R scripts for the lab to use for cleaning the raw data from … Read more

Melanie Prieto awarded the NSF GRFP

Melanie Prieto, second-year graduate student in the Hausman Lab, was recently awarded the National Science Foundation Graduate Research Fellowship. This prestigious program supports students in various STEM fields for pursuing their groundbreaking research. Through this award, Melanie will be researching the cognitive processes involved in learning math and statistics, with a particular focus on identifying … Read more