Iterating Toward Openness

AUGUST 31, 2022

As I eventually wrote in Open educational resources: Undertheorized research and untapped potential : Many of the articles reviewed in Hilton (2016), including some articles on which I was an author, are woefully undertheorized. According to data in the most widely cited survey , 26.5%

OER 162

OER Outcomes Comparison Study 162

edWeb.net

MARCH 16, 2020

Data that Drive Solutions. Panelist Phyllis Jordan, editorial director at FutureEd, pointed to the results of the organization’s analysis of states’ 2017 ESSA plans, which require one non-academic indicator for school assessments. Chronic absenteeism emerged as a top indicator that affects students’ educational experiences.

Policies 52

Policies Dropout Outcomes Comparison 52

MIND Research Institute

NOVEMBER 16, 2016

Educational programs are not being held accountable for long-term impact. This makes it especially challenging for education leaders to make wise choices, and it inhibits innovation and continuous improvement by program developers. This is a problem. All of the above conspire to inhibit continuous improvement.

Program Evaluation 40

Program Evaluation Study Analysis Training 40

edWeb.net

APRIL 11, 2020

Three-dimensional learning – The standards are based in three learning dimensions central to science and engineering education: Practices, the behaviors of scientists and engineers. In the game, they apply all three learning dimensions: Practices: analyzing data, creating environments. The Game Connection.

Video 58

Video Analysis Program Evaluation Game-Based Learning 58

edWeb.net

NOVEMBER 15, 2018

Looking at proficiency data. But as Mitch Slater, Co-Founder and CEO of Levered Learning, pointed out in his edWebinar “ A Little Data is a Dangerous Thing: What State Test Score Summaries Do and Don’t Say About Student Learning,” looking at data from one set of assessment scores without context is virtually meaningless.

Analysis 40

Analysis Data EdTech Assessment 40

edWeb.net

MAY 27, 2021

She worked with Dr. Griffin on the development of what became a professional learning project designed to prepare educators to engage with students in deep dialogues about race and other equity issues. Within the teaching and learning category, one goal is to make sure the curriculum is diverse, equitable, and inclusive.

Professional Learning 67

Professional Learning Elementary Policies Assessment 67

MIND Research Institute

JANUARY 16, 2018

You probably wouldn’t be surprised to hear that every education technology (edtech) publisher says their product works, and they all have some sort of supporting evidence. Yet just that one piece of "gold standard" evidence is often considered good enough by educators when making a purchasing decision. But it shouldn’t be.

Study 85

Study EdTech Program Evaluation Assessment 85

MIND Research Institute

MAY 9, 2019

Department of Education (DOE) Institute of Education Sciences (IES) as one of six math programs to be further investigated under what IES terms “replication studies.”. “We We look forward to using ST Math to help IES realize its vision of a healthier and better-informed market in education program evaluations.

Study 45

Study eBook EdTech Common Core 45

MIND Research Institute

MAY 9, 2019

Department of Education (DOE) Institute of Education Sciences (IES) as one of six math programs to be further investigated under what IES terms “replication studies.”. “We We look forward to using ST Math to help IES realize its vision of a healthier and better-informed market in education program evaluations.

Study 40

Study eBook EdTech Common Core 40

Edsurge

MAY 21, 2019

Everyone, whether an educator, an entrepreneur or a parent, should want edtech products that are effective—ones that genuinely help students learn. The resulting snarl has frustrated everyone: educators and parents don’t know how to evaluate edtech products; entrepreneurs don’t know what metrics authentically gauge their value.

EdTech 114

EdTech Company Outcomes Study 114

The Hechinger Report

JULY 20, 2021

AI can absolutely help identify and find suspects more quickly and accurately, but when it is misused and irresponsibly employed, based on already biased data, it does more harm than good. As we reimagine policing, we must create better data systems and technology to inform our new policies. It’s an exciting time for this pursuit.

STEM 129

STEM Analysis Policies Data 129