Dr. Hannah Hausman awarded Hellman Fellowship!

Dr. Hannah Hausman has recently been awarded the Hellman Fellowship. The purpose of this fellowship is to award junior faculty additional funding for promising projects in the 2nd-3rd year of their professorships.

The project for which the fellowship has been awarded is in collaboration with graduate student Melanie Prieto. The research focuses on the subject of worked examples. 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 student’s metacognition. This means that students are unaware of their level of understanding and do not study effectively, leading to worse performance on examinations. This project, which will be led by Melanie, is hoping to develop new learning strategies that have the benefits of worked examples without the drawbacks of lowered metacognition.

This is such an exciting project and we can’t wait to see what comes of it! Find more information about the Hellman Fellowship here!

Congratulations!!

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 research that is relevant to the most pressing questions and compelling opportunities in education”. The current proposal aims to investigate both the possible benefits and drawbacks of the involvement of Artificial Intelligence in college linguistics courses.

Find more information about the Spencer Foundation here!

Congratulations Dr. Hausman!
spencer foundation logoling clipart large

 

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 graduate students, Melanie Pietro and Jexy An Nepangue, our current undergraduate Lab Manager, Ryan Haraden, our current undergraduate Data Manager, Jacky Gonzalez, as well as former undergraduate Lab Manager Camila Sánchez, and former undergraduate research assistant Siobhan Moher.

Be sure to check out the posters by clicking on the names of our members!

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 information. Drs. Karen Arcos, Hannah Hausman, and Benjamin C. Storm had participants learn history statements in one of three conditions: passive reading of all correct information, passive reading of true and false information labeled as such, and a “truth-checking” condition, in which the same true and false information was presented but participants had to mark the accuracy of each statement themselves. Across 3 experiments, the results were mixed: In some cases but not all cases, truth-checking improved memory for the true statements. However, participants in the truth-checking condition were also sometimes more likely to misremember false information as ‘true’ and learning took significantly longer overall. It seems as if the costs of truth-checking might outweigh the benefits.

Be sure to check out the article here and on our publications page.

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, can be used to work for equity.”

Be sure to check out the Faculty Fellows program here.

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 question, Drs. Sarah J. Myers, Hannah Hausman, and Matthew G. Rhodes had participants read informational texts, then review the material by answering experimenter-provided questions, writing and answering their own questions, or rereading the material. Contrary to predictions, the researchers found that creating and answering one’s own questions did not improve, and sometimes impaired learning, compared to answering provided review questions or rereading the texts. Although practice testing is an effective learning strategy, we encourage instructors and material developers to provide high-quality review questions for students.

Be sure to check out the article here and on our publications page.

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 texts students read in school. The answer was no–participants learned just as much from reading a text about geology regardless of whether or not they ended their study session by judging how well they understood different concepts from the reading. This surprising new finding has practical implications for teachers and students and theoretical implications for how making metacognitive judgments affects memory.

Be sure to check out at article here and on our publications page.

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 beneficial than delayed feedback on follow up tests. For answers that were correct initially, though, delayed feedback was better for final test performance.

Be sure to check out the full poster at the link below!

Feedback and Error Correction: The Optimal Timing of Feedback Depends on Retrieval Success 

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 that structured self-explanation will not only improve learning of new math concepts but also help students more accurately assess their understanding.

Be sure to check out the full poster at the link below!

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

New Lab Manager!

Camila Sánchez, the Hausman Memory and Metacognition Lab’s first lab manager, is now a college graduate! Now with a B.S. in Cognitive Science, achieving Summa Cum Laude and receiving highest honors in her major, Camila is excited to be applying to Clinical Psychology PhD and PsyD programs. We are so proud of her, and so honored to have had her as our lab manager! We wish her the best of luck moving forward.

We are also happy to announce our new lab manager: Ryan Haraden! They have been a research assistant in the Hausman Lab since Fall 2022, researching testing effects and helping to write for publications. Ryan is excited to be able to take over the responsibilities of Lab Manager for the 2023-24 academic year and knows they have big shoes to fill (Camila made them write that). Ryan will continue their work as a research assistant and is looking forward to a great year! 

 

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 out the poster at the link below.

Episodic Error Correction Poster

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 our experiments so that we could easily explore and analyze the data.

We would love to welcome our new data manager: Jacky Gonzales! Jacky will be taking over Mariah’s responsibilities for the remainder of the 2022-23 school year along with the 2023-24 school year. Jacky is also a Research Assistant in the Hausman Lab and will continue to ensure that we have efficient data cleaning, analysis work flow and reproductible scripts that promote open science.

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 study strategies that help students learn the underlying concepts rather than just memorize formulas.

We are so proud of Melanie and can’t wait to see what amazing projects she will produce!