1: cuLearn from Instructor & Evaluations : measuring LOs - PDF document

PSYC 2002: Introduction to Statistics for Psychology Thursday, April 16, 2020 PSYC 2002A PSYC 2002A Introduction to Statistics for Psychology Introduction to Statistics for Psychology …A Required Course that Students Don’t Want to Take COURSE Course Type: online & asynchronous CONTEXT Size: 240 students Support: 2 instructors & 5 TAs Lectures: 13 lectures with mini-lessons Evaluation Structure: Scaffolded formative assessments that lead to a capstone project (the final exam – summative). PSYC 2002 A – Introduction to Statistics for Psychology PSYC 2002 – Introduction to Statistics for Psychology 1 PSYC 2002 – Introduction to Statistics for Psychology 2 1 2 PSYC 2002A PSYC 2002A Introduction to Statistics for Psychology Introduction to Statistics for Psychology ADVICE WHAT IS 1: Interpret datasets using both descriptive and inferential statistical procedures. FROM A THE • Describe a sample using descriptive statistics from datasets. • Infer meaning from datasets and solved formulas. ROOKIE POINT? 2: Analyze datasets using appropriate formulas. • Solve statistical formulas provided. • Select appropriate formulas to answer research questions. 3: Recognize that statistics is conceptual math. • Explain basic statistical concepts (e.g., variability). • Constructively critique statistics presented in journal articles. 4: Embody a willingness to learn. Don’t lose sight of what’s important… 5: Execute functions in Microsoft Excel. PSYC 2002 – Introduction to Statistics for Psychology 3 PSYC 2002 – Introduction to Statistics for Psychology 4 3 4 Welcome to my Online Classroom PSYC 2002A Introduction to Statistics for Psychology 🤕 1: cuLearn from Instructor & Evaluations : measuring LOs Student view MEASURING LOs Learning Activities : supporting students à LOs 2: Student Feedback 3: Pros & Cons (tech) 4: Let’s talk! PSYC 2002 – Introduction to Statistics for Psychology 5 PSYC 2002 – Introduction to Statistics for Psychology 6 5 6 Lindsay Richardson – lindsay.richardson@carleton.ca 1

PSYC 2002: Introduction to Statistics for Psychology Thursday, April 16, 2020 PSYC 2002A PSYC 2002A Introduction to Statistics for Psychology Introduction to Statistics for Psychology …A Required Course that Students Don’t Want to Take Student Feedback PSYC 2002 A – Introduction to Statistics for Psychology PSYC 2002 – Introduction to Statistics for Psychology 7 PSYC 2002 – Introduction to Statistics for Psychology 8 7 8 Transition: Check Point #2 • At the end of Lecture 2, you were asked to: Responses: 41 • “rate how confident you are in your 25 understanding of the material so far”. • This was done using a 5-point Likert 20 21 Scale. • Where 1= Not at all confident, and 15 • 2= Extremely confident 13 • We will be going over data visualization 10 in the upcoming mini-lesson #graphsnstuff. 5 4 • For now, here are the results: 3 0 0 1 2 3 4 5 PSYC 2002 – Introduction to Statistics for Psychology 9 PSYC 2002 – Introduction to Statistics for Psychology 10 9 10 Transition: Check Point #3 Transition: Check Point #5 • At the end of Lecture 3, you were • At the end of Lecture 3, you were asked: asked: • “Do you feel as though you understand the • “Do you feel prepared for the 6% 8% material so far?” assignments?” • Possible responses were: • Possible responses were: 31% • Yes • Yes 50% • Not yet. But once I study, I think I’ll get it. • Not yet. But I’m getting there! 63% 42% • Not at all. I’m very confused. • Here are the results (n = 32) : • Here are the results ( n = 38) : Yes Not yet. But onc e I study, I think I'll get it. Yes Not yet. But I'm gett ing there! Not at all. I'm v ery confused. Not at all . I' m very co nfused . PSYC 2002 – Introduction to Statistics for Psychology 11 PSYC 2002 – Introduction to Statistics for Psychology 12 11 12 Lindsay Richardson – lindsay.richardson@carleton.ca 2

PSYC 2002: Introduction to Statistics for Psychology Thursday, April 16, 2020 Student Feedback – thank you! • Everything in cuLearn • cuLearn or Qualtrics? • Familiarity • Loading issues • Progress Bar • “I like both” • Clearer A/V • Shorter videos • Easier to watch PSYC 2002 – Introduction to Statistics for Psychology 13 PSYC 2002 – Introduction to Statistics for Psychology 14 13 14 Student Feedback – thank you! • “In Qualtrics you cant navigate as well as you can in cuLearn.” Areas of Strength Areas for Growth • “Easier and have more experience with cuLearn. cuLearn also gives a list of topics that are going to be covered so it • Interactivity & Questions • Play around more in Excel helps with time management.” • Software review (spss & excel) • Too many tabs and links in cuLearn • Excel demonstrations • Lengthy Excel demonstrations • “The one thing I prefer with CuLearn is seeing the checklist of • Sorting lecture material videos in the lesson so I know here I'm at in the lesson. But • But rushed at points. • Different options for learning • All lessons in one file. they both work great overall!” • Support opportunities • One whole video please • “Qualtrics makes the video very small, while for whatever • Prompt support • More engaging material reason I can see better on cuLearn. I also prefer the • Smaller chunks • Looking at the screen and following interactive arrows on cuLearn and the links to other things in • “Not as hard as I thought” along in demonstrations. the lesson. While there is progress bar now in Qualtric s, it still • Short assignment • Release lectures sooner doesn't say the actual percentage of how far along I am.” • Structured and Organized • Organization of quizzes and assignments PSYC 2002 – Introduction to Statistics for Psychology 15 PSYC 2002 – Introduction to Statistics for Psychology 16 15 16 Student Course Feedback Student Course Feedback • Questions: Areas of Strength Areas for Growth 1. (Areas of Strength) What are three best • Course Structure (46) • I dislike… (13) things about this course? • Making the course more • Improve mini-lessons (10) 2. (Areas for Growth) What are three things you manageable (21) • Course Structure (6) wish you could change about the course? • Lots of Support (18) • Grading (4) • Responses: • Professor Qualities (3) • I would like to have… (10) • n = 28 • Learner-Centered Course (5) PSYC 2002 – Introduction to Statistics for Psychology 17 PSYC 2002 – Introduction to Statistics for Psychology 18 17 18 Lindsay Richardson – lindsay.richardson@carleton.ca 3

PSYC 2002: Introduction to Statistics for Psychology Thursday, April 16, 2020 Areas of Strength Areas for Growth 18 6 10 46 13 Learner- 21 10 Making the Lots of 3 Prof Course Improve I would like Structure I dislike… Grading Centered course more Support Qualities Mini-Lessons Structure to have … manageable Course 5 4 Chunking of material Accessibility Ask the Instructor Caring Checkpoints Statistics Lecture content after Load of info ANSW ER sheet with Bank of Excel Demos Course management Textbook is time Clear Efficient Feedback Encouraging Course adjusted quiz closes Name lectures by minimal feedback Cheat sheet for Course Structure Ease of access Prompt Support 5 Approachable consuming Less clicking Assignments require a based on student Module or date formulas, symbols, 5 Flexibility Easy to follow along performance Time consuming Longer mini-lessons Support Friendly Pace lot of explanation and terms 5 Final is cumulative Grade adjustments Excel demonstrations 9 Feedback taken into Too many activities More examples Smaller assignments cuLessons over 5 SONA marks bonus Interactivity Different explanations Too many assignments More third-party consideration W hy the hashtags? Qualtrics Lots of Quizzes Colloquialisms Too many Quizzes content Difficult concepts 12 Mini Lectures Pace Too much textbook Release lectures feedback Organization To-the-point Too many reading q’s sooner Fewer errors Overlap between Slower with Excel and 5 Make stats not TOPHAT SUCKS! content and text formulas required Quizzes only on text Meaning of why we Scaffolded Evals are doing this? Schedule understood Social interaction Storage benefit PASS Sessions Structure of Evals 5 See the Final Exam TopHat Homework PSYC 2002 – Introduction to Statistics for Psychology 19 PSYC 2002 – Introduction to Statistics for Psychology 20 19 20 PSYC 2002A PSYC 2002A Introduction to Statistics for Psychology Introduction to Statistics for Psychology Tech ADVICE Online Textbook: TopHat LMS: cuLearn (Moodle-based) FROM A PROS & Lessons vs. Qualtrics • CONS ROOKIE Forums vs. Databases (e.g., Ask the Instructor) • Intro Quiz, Restrictions, & Logs • Check Points & Feedback • Announcements vs. Mail • Recording: Kaltura capture, Zoom, QuickTime, iMovie, Media Space (Editor) Creating Lessons: Embedding, Qualtrics, PowerPoint vs. Keynote, Talking Heads, Doodly, Dynamic Drawings (formulas) Let’s Talk! Synchronous components: BBB vs. Zoom for Office Hours PSYC 2002 – Introduction to Statistics for Psychology 21 PSYC 2002 – Introduction to Statistics for Psychology 22 21 22 Lindsay Richardson – lindsay.richardson@carleton.ca 4